<strong>Synthesia</strong> introduced its fourth-generation &quot;Expressive Avatars,&quot; which it said can express emotions like sadness and excitement based on context

Nvidia-backed startup Synthesia's AI avatars can express human emotions

AI firm <strong>Synthesia</strong> has unveiled AI-generated digital avatars capable of mimicking human emotions, which could transform commerce.

Emotive AI Offers New Ways to Connect With Consumers

<strong>Synthesia</strong> now lets you create custom avatars based on your likeness and new synthetic human-like AI avatars that can express emotions.

AI avatars can now smile thanks to a new Synthesia model — and it's as disturbing as it sounds | Tom's Guide

Companies will be able to use <strong>Synthesia</strong>&#x27;s AI-generated actors to create training videos, presentations, and other corporate materials.

Nvidia-backed AI Firm Launches Lifelike Avatars for Enterprise Users | Extremetech

<strong>Synthesia</strong>, an AI startup supported by Nvidia, is enhancing AI avatars to accurately express human emotions and movements in corporate settings, catering to diverse industries globally with its latest upgrade.

Nvidia-backed AI startup releases avatars that express human emotion

<strong>Synthesia</strong>, an AI startup backed by Nvidia, has unveiled new AI-generated digital avatars that can convey human emotions using a user’s text input.

Nvidia-backed Synthesia introduces Gen AI avatars with human-like emotional range

VentureBeat is the leader in covering transformative tech. We help business leaders make smarter decisions with our industry-leading AI and gaming coverage.

Synthesia takes next leap in AI video with 'expressive avatars'

AI startup <strong>Synthesia</strong> on Thursday announced the launch of its &quot;Expressive Avatars,&quot; AI-generated digital avatars that can convey human emotions.

Nvidia-backed startup Synthesia unveils AI avatars that can convey human emotions

Its latest version features avatars that provide more emotion, better lip tracking, and what <strong>Synthesia</strong> says are more expressive natural and human movements when they are fed text to generate videos.

Watch it and weep (or smile): Synthesia's AI video avatars now feature emotions | TechCrunch

<strong>Synthesia</strong>&#x27;s latest AI avatars use sentiment analysis to identify and express the emotion contained within text

AI unicorn unveils most 'emotionally expressive' avatars on market

Synthesia

synthesia

You’ve probably heard countless times that when it comes to prompting—whether on ChatGPT, MidJourney, Synthesia, Runway ML, or any other AI tool—being as precise as possible is key. The first step toward precision is detail. AI, as we know it, is not a mind reader; it works solely based on the information you provide. Only with clear, detailed input can you achieve the best results. This principle also applies when generating precise images. However, in this case, when prompting, you need to think like a photographer, a designer, and a writer all at once. In this article, we’ll explore how to write effective prompts for Google's AI Test Kitchen ImageFX to get accurate results. First of all, the Don't of AI Test Kitchen Image FX ImageFX does not allow queries that could lead to outputs involving minors or certain prominent individuals.
It also discourages queries that result in images portraying abuse, violence, self-harm, or any content promoting hatred. Why Does Precision Matter? Precision can mean the difference between a flawed result and a perfectly executed output, especially when generating images. Text prompts might offer vague summaries, but poorly structured image prompts can drastically affect the outcome. If, like me, you’re creating for a non-Caucasian audience, you must be extremely precise. A vague prompt will likely produce generic, unusable results. However, when done correctly, ImageFX excels at generating region-specific outputs tailored to your needs. Crafting Effective Prompts: A Step-by-Step Guide When crafting an image prompt, keep these three key components in mind: 1. Who Is Your Subject Matter? Suppose you’re conceptualizing an image of a "woman in a coffee shop." In this case, the woman is the subject. It’s essential to clearly define your subject, depending on the audience and your intention. See the difference between both prompts. Prompt 1: A woman in a coffee shop. Prompt 2: A plump Nigerian woman sitting in a coffee shop. 2. Be Descriptive and Detailed In other words "show workings." What actions are the characters performing? What time of day is it? What is the mood? Describe the setting, the characters’ outfits, any secondary subjects, and the overall atmosphere. Example: A plump Nigerian woman sitting in a coffee shop, sipping coffee. On the table is a book and an iPhone and seated beside her is a Pomeranian. 3. Be Specific About the Composition and Style This is where you need to think like a designer. Consider the layout and style. Do you want an animated style? If so, what kind? Do you want it to be animated and if yes what kind of animation - Traditional Animation (2D, Hand-Drawn Animation) or 3D Animation (CGI)? Luckily, if you are looking to adopt a particular style of animation that you like, ImageFX allows you to experiment with different animation styles. Prompt A plump Nigerian woman sitting in a coffee shop, sipping coffee. On the table is a book and an iPhone and seated beside her is a Pomeranian. They are all in Pixar animated style. A plump Nigerian woman sitting in a coffee shop, sipping coffee. On the table is a book and an iPhone and seated beside her is a Pomeranian. They are all in Simpson's animated style. To get into a photographer's mindset, you have to consider the angles, the lighting, and the focus of the shot. Prompts with Various Angles: 1. Close-up (Focus on the Woman and Coffee Sip) Close-up shot of a plump Nigerian woman lifting her coffee cup toward her lips, taking a slow sip. Her face shows a relaxed expression. On the table in front of her, a book lies open next to an iPhone, partially in view. A Pomeranian sits quietly beside her, peeking into the frame. 2. Over-the-shoulder (Focus on the Table and Scene) Over-the-shoulder shot from behind a plump Nigerian woman, capturing the scene from her perspective. The table shows an open book and her iPhone lying beside it. The Pomeranian is seated next to her, with the coffee shop atmosphere visible in the background. 3. Wide-angle (Full Room View of the Scene) Wide-angle shot showing the entire coffee shop scene: a plump Nigerian woman sitting at a table, sipping coffee, with her book and iPhone lying in front of her. A Pomeranian is seated by her side, looking calm. The café setting includes soft lighting, other customers, and a warm ambiance. 4. Bird’s-eye View (Top-down Perspective of the Table) Bird’s-eye view from directly above the table shows the entire scene: an open book, an iPhone, and a coffee cup on a table. A Pomeranian is seated beside a plump Nigerian woman, while she is sipping her coffee, creating a peaceful, content moment captured from above. 5. Medium Shot (Balanced View of the Woman, Table, and Pomeranian) Medium shot from the side, showing a plump Nigerian woman comfortably sitting in the coffee shop, sipping her coffee. A table is visible with the open book and iPhone laid out, and a Pomeranian is seated next to her, calmly watching the surroundings. The warm lighting of the coffee shop adds to the ambiance. 6. Side Profile (Highlighting the Woman and the Pet) Side profile shot of a plump Nigerian woman sitting at a table, sipping her coffee, with a book open in front of her and the iPhone placed nearby. A Pomeranian is seated beside her, either looking toward her or gazing ahead. The coffee shop's interior provides a soft, cozy backdrop. 7. Close-up (Focus on the Pomeranian) Close-up shot of a Pomeranian seated on the chair beside a woman, looking calm and content. In the blurred background, a plump Nigerian woman can be seen sipping her coffee with the book and iPhone on the table. 9. Overhead Angle (Showcasing Coffee, Book, and Phone) Overhead angle shot that captures a plump Nigerian woman’s hand holding the coffee cup as she lifts it to take a sip. A book lies open on the table with an iPhone next to it, creating a top-down view of the table setup. A Pomeranian is just visible seated beside her, rounding out the scene. Tips for Getting the Best Results on ImageFX Experiment with Keywords: Don’t hesitate to try different keyword combinations. ImageFX might be restrictive, but with the right prompts, you can achieve close-to-ideal results.
Maintain Consistency: When creating a series of images, keep the angle and style consistent. Only change the subject when necessary.
Use Identifiers: When generating multiple images with the same subject, give the subject unique identifiers to maintain flow. Troubleshooting Common Issues with ImageFX Query: "I’m a Nigerian creating for a Nigerian audience, but some details are off." Response: AI isn’t a mind reader. You need to adjust your descriptors for more accurate results. Example: Prompt 1: A Nigerian conductor in front of a bus. Prompt 2: A Nigerian Lagos conductor wearing shorts and a tank top in front of a yellow Danfo bus (Volkswagen T3). Conclusion While you don’t need to be a prolific writer to craft effective prompts, you do need to take the time to clearly and descriptively outline what you want. Don’t be discouraged if the result isn’t perfect on the first try—keep experimenting, adding or removing keywords as needed. And with that I leave you with these images I conceptualised using ImageFX. Enjoy. You’ve probably heard countless times that when it comes to prompting—whether on ChatGPT, MidJourney, Synthesia, Runway ML, or any other AI tool—being as precise as possible is key. The first step toward precision is detail. AI, as we know it, is not a mind reader; it works solely based on the information you provide. Only with clear, detailed input can you achieve the best results. This principle also applies when generating precise images. However, in this case, when prompting, you need to think like a photographer, a designer, and a writer all at once. In this article, we’ll explore how to write effective prompts for Google's AI Test Kitchen ImageFX to get accurate results. First of all, the Don't of AI Test Kitchen Image FX First of all, the Don't of AI Test Kitchen Image FX ImageFX does not allow queries that could lead to outputs involving minors or certain prominent individuals. It also discourages queries that result in images portraying abuse, violence, self-harm, or any content promoting hatred. ImageFX does not allow queries that could lead to outputs involving minors or certain prominent individuals. It also discourages queries that result in images portraying abuse, violence, self-harm, or any content promoting hatred. Why Does Precision Matter? Why Does Precision Matter? Precision can mean the difference between a flawed result and a perfectly executed output, especially when generating images. Text prompts might offer vague summaries, but poorly structured image prompts can drastically affect the outcome. If, like me, you’re creating for a non-Caucasian audience, you must be extremely precise. A vague prompt will likely produce generic, unusable results. However, when done correctly, ImageFX excels at generating region-specific outputs tailored to your needs. Crafting Effective Prompts: A Step-by-Step Guide When crafting an image prompt, keep these three key components in mind: 1. Who Is Your Subject Matter? Suppose you’re conceptualizing an image of a "woman in a coffee shop." In this case, the woman is the subject. It’s essential to clearly define your subject, depending on the audience and your intention. See the difference between both prompts. Prompt 1: A woman in a coffee shop. Prompt 1: A woman in a coffee shop. Prompt 2: A plump Nigerian woman sitting in a coffee shop. Prompt 2: A plump Nigerian woman sitting in a coffee shop. 2. Be Descriptive and Detailed 2. Be Descriptive and Detailed In other words "show workings." What actions are the characters performing? What time of day is it? What is the mood? Describe the setting, the characters’ outfits, any secondary subjects, and the overall atmosphere. "show workings." Example: A plump Nigerian woman sitting in a coffee shop, sipping coffee. On the table is a book and an iPhone and seated beside her is a Pomeranian. 3. Be Specific About the Composition and Style 3. Be Specific About the Composition and Style This is where you need to think like a designer. Consider the layout and style. Do you want an animated style? If so, what kind? Do you want it to be animated and if yes what kind of animation - Traditional Animation (2D, Hand-Drawn Animation) or 3D Animation (CGI)? Luckily, if you are looking to adopt a particular style of animation that you like, ImageFX allows you to experiment with different animation styles. Prompt A plump Nigerian woman sitting in a coffee shop, sipping coffee. On the table is a book and an iPhone and seated beside her is a Pomeranian. They are all in Pixar animated style. A plump Nigerian woman sitting in a coffee shop, sipping coffee. On the table is a book and an iPhone and seated beside her is a Pomeranian. They are all in Simpson's animated style. To get into a photographer's mindset, you have to consider the angles, the lighting, and the focus of the shot. To get into a photographer's mindset, you have to consider the angles, the lighting, and the focus of the shot. Prompts with Various Angles: 1. Close-up (Focus on the Woman and Coffee Sip) 1. Close-up (Focus on the Woman and Coffee Sip) Close-up shot of a plump Nigerian woman lifting her coffee cup toward her lips, taking a slow sip. Her face shows a relaxed expression. On the table in front of her, a book lies open next to an iPhone, partially in view. A Pomeranian sits quietly beside her, peeking into the frame. 2. Over-the-shoulder (Focus on the Table and Scene) 2. Over-the-shoulder (Focus on the Table and Scene) Over-the-shoulder shot from behind a plump Nigerian woman, capturing the scene from her perspective. The table shows an open book and her iPhone lying beside it. The Pomeranian is seated next to her, with the coffee shop atmosphere visible in the background. 3. Wide-angle (Full Room View of the Scene) 3. Wide-angle (Full Room View of the Scene) Wide-angle shot showing the entire coffee shop scene: a plump Nigerian woman sitting at a table, sipping coffee, with her book and iPhone lying in front of her. A Pomeranian is seated by her side, looking calm. The café setting includes soft lighting, other customers, and a warm ambiance. 4. Bird’s-eye View (Top-down Perspective of the Table) 4. Bird’s-eye View (Top-down Perspective of the Table) Bird’s-eye view from directly above the table shows the entire scene: an open book, an iPhone, and a coffee cup on a table. A Pomeranian is seated beside a plump Nigerian woman, while she is sipping her coffee, creating a peaceful, content moment captured from above. 5. Medium Shot (Balanced View of the Woman, Table, and Pomeranian) 5. Medium Shot (Balanced View of the Woman, Table, and Pomeranian) Medium shot from the side, showing a plump Nigerian woman comfortably sitting in the coffee shop, sipping her coffee. A table is visible with the open book and iPhone laid out, and a Pomeranian is seated next to her, calmly watching the surroundings. The warm lighting of the coffee shop adds to the ambiance. 6. Side Profile (Highlighting the Woman and the Pet) 6. Side Profile (Highlighting the Woman and the Pet) Side profile shot of a plump Nigerian woman sitting at a table, sipping her coffee, with a book open in front of her and the iPhone placed nearby. A Pomeranian is seated beside her, either looking toward her or gazing ahead. The coffee shop's interior provides a soft, cozy backdrop. 7. Close-up (Focus on the Pomeranian) 7. Close-up (Focus on the Pomeranian) Close-up shot of a Pomeranian seated on the chair beside a woman, looking calm and content. In the blurred background, a plump Nigerian woman can be seen sipping her coffee with the book and iPhone on the table. 9. Overhead Angle (Showcasing Coffee, Book, and Phone) 9. Overhead Angle (Showcasing Coffee, Book, and Phone) Overhead angle shot that captures a plump Nigerian woman’s hand holding the coffee cup as she lifts it to take a sip. A book lies open on the table with an iPhone next to it, creating a top-down view of the table setup. A Pomeranian is just visible seated beside her, rounding out the scene. Tips for Getting the Best Results on ImageFX Experiment with Keywords: Don’t hesitate to try different keyword combinations. ImageFX might be restrictive, but with the right prompts, you can achieve close-to-ideal results. Maintain Consistency: When creating a series of images, keep the angle and style consistent. Only change the subject when necessary. Use Identifiers: When generating multiple images with the same subject, give the subject unique identifiers to maintain flow. Experiment with Keywords: Don’t hesitate to try different keyword combinations. ImageFX might be restrictive, but with the right prompts, you can achieve close-to-ideal results. Maintain Consistency: When creating a series of images, keep the angle and style consistent. Only change the subject when necessary. Use Identifiers: When generating multiple images with the same subject, give the subject unique identifiers to maintain flow. Troubleshooting Common Issues with ImageFX Query: "I’m a Nigerian creating for a Nigerian audience, but some details are off." Response: AI isn’t a mind reader. You need to adjust your descriptors for more accurate results. Example: Prompt 1: A Nigerian conductor in front of a bus. Prompt 1: A Nigerian conductor in front of a bus. Prompt 2: A Nigerian Lagos conductor wearing shorts and a tank top in front of a yellow Danfo bus (Volkswagen T3). Prompt 2: Conclusion Conclusion While you don’t need to be a prolific writer to craft effective prompts, you do need to take the time to clearly and descriptively outline what you want. Don’t be discouraged if the result isn’t perfect on the first try—keep experimenting, adding or removing keywords as needed. And with that I leave you with these images I conceptualised using ImageFX. Enjoy.

How to Write Precise Prompts on Google's AI Test Kitchen

Как да напишете прецизни подкани в кухнята за тестване на изкуствен интелект на Google

Com escriure indicacions precises a la cuina de prova d'IA de Google

Cómo escribir indicaciones precisas en la cocina de pruebas de inteligencia artificial de Google

गूगल के AI टेस्ट किचन पर सटीक संकेत कैसे लिखें

Google の AI テスト キッチンで正確なプロンプトを書く方法

Google-ийн хиймэл оюун ухааны туршилтын гал тогоон дээр хэрхэн нарийн сануулгыг бичих вэ

गुगलको एआई टेस्ट किचेनमा कसरी सटीक प्रम्प्टहरू लेख्ने

Tsela ya go Ngwala Ditšhišinyo tše di Nepagetšego go Google ya AI Test Kitchen

Cum să scrieți solicitări precise în bucătăria de testare AI a Google

Sida Looga Qoro Codsiyada Saxda ah ee Google's AI Test Jikada

ከመይ ጌርና ኣብ ናይ Google AI Test Kitchen ልክዕ ምልክታት ንጽሕፍ

گوگل کے اے آئی ٹیسٹ کچن پر درست اشارے کیسے لکھیں۔

The generative AI boom has taken the world by storm, and already businesses are scrambling to adopt the technology and use it to gain a competitive advantage on the world stage. Could the age of GenAI open the door to more globally-focused businesses? The impact of generative AI can’t be overstated at an enterprise level. According to JPMorgan Research, the GenAI boom could ultimately increase global GDP by between $7 and $10 trillion, a rate of growth that could total 10%. But how could the disruptive force of generative AI impact businesses? There are plenty of emerging use cases stemming from the success of OpenAI’s ChatGPT large-language model (LLM) and its ability to understand prompts and queries on a conversational and contextual level to create impressive visualization and content that improves cost and time efficiency throughout marketing. There are also plenty of deep analytical use cases emerging that can supercharge R&D initiatives and improve the ability of businesses to understand their customer profiles. Generative AI models can even create code on behalf of users to design websites and create unique on-site experiences for visitors. The capabilities of the emerging technology are vast, and we’re still only scratching the surface of what generative AI can achieve in the future. Despite all of its potential throughout the wider world of business, could the most effective use of generative AI today focus on aiding businesses to grow on the world stage? Let’s take a look at the ways GenAI can improve the global outlook for startups and SMEs: Maximizing Efficiency One of the key benefits that generative AI offers globally-focused businesses is the luxury of efficiency in cost and time reductions. Through automation technology, businesses can take repetitive tasks away from the responsibility of workers to help allocate more resources to vital operational areas. For smaller businesses, this ability to reallocate task delegation to more complex challenges can help secure growth and prospective expansions into new international markets. Deloitte data suggests that 82% of leaders agree that artificial intelligence will improve the performance and job satisfaction of their employees. Crucially, these findings dispel the long-held belief that the emergence of artificial intelligence will replace humans and instead can be a positive workplace influence by complementing its human counterparts. This can pave the way for 1.75 hours saved daily on average, while one-third of survey respondents have reported saving 30 minutes to an hour each day using generative AI tools. Through automation technology, we will see more startups and SMEs gain the ability to look earlier at international markets, and time-saving GenAI tools can aid key decision-makers in exploring possibilities overseas without sacrificing time spent on more repetitive tasks within operational structures. Catering to International Markets Generative AI is also helping startups and SMEs cater directly to international audiences on a more natural level. In terms of marketing overseas, platforms like ChatGPT and Copy.ai have opened the door for brands to create more focused multi-language content that can be created using LLMs with unprecedented accuracy and personalization. This can help businesses cater their website content directly to the markets they wish to branch into, while tools like DALL-E 2 and Synthesia empower brands to create realistic images and videos from text prompts that can be appropriated to match different cultural and geographical requirements. Generative AI has made it easier than ever to cater to a target audience anywhere in the world in a frictionless manner. For businesses that have identified an opportunity among certain international audiences, the market opportunity could be a significant driver of growth moving forward. Welcoming International Operations The emerging technology can also help refine project and workflow management technology throughout virtually every international industry. This means that factors like scheduling, reporting, and data entry can be delegated and undertaken seamlessly from any office, anywhere. Generative AI can even take task delegation management decisions and convert them into the native language of remote workers, helping to broaden the talent pool available to companies welcoming remote work. In building a presence overseas, generative AI can facilitate collaboration between a US headquarters and a foreign language office in an international location. Machine learning algorithms can even be utilized in the decision-making process ahead of international expansion by analyzing the domestic infrastructure and trade regulations of prospective locations. There are plenty of opportunities on the global stage for companies seeking to expand into new markets. In Latin America, where businesses won’t be impacted by time-zone issues, a number of infrastructural improvements have paved the way for a strong, budget-friendly landscape. According to P&H Law, this could open the door to businesses taking advantage of the Dominican Republic’s trade agreements and bilateral investment treaties with Argentina, Chile, South Korea, Spain, France, Italy, China, and Switzerland, or Mexico’s lower wage expectations, for instance. Embracing the World Stage There’s no doubt that generative AI will bring transformative potential to a vast number of businesses, but this transformation is likely to be most pronounced among ambitious startups and SMEs. With the potential of saving time and costs in opening to the world stage, we could see more businesses breaking down the barriers to international markets and opening up to far more extensive markets throughout many new continents. Although fears persist over the future of AI in the workplace, generative tools may hold the key to meaningful growth throughout many sectors, helping to boost human productivity and job satisfaction on an international scale, not replace it. The generative AI boom has taken the world by storm, and already businesses are scrambling to adopt the technology and use it to gain a competitive advantage on the world stage. Could the age of GenAI open the door to more globally-focused businesses? The impact of generative AI can’t be overstated at an enterprise level. According to JPMorgan Research, the GenAI boom could ultimately increase global GDP by between $7 and $10 trillion , a rate of growth that could total 10%. between $7 and $10 trillion between $7 and $10 trillion But how could the disruptive force of generative AI impact businesses? There are plenty of emerging use cases stemming from the success of OpenAI’s ChatGPT large-language model (LLM) and its ability to understand prompts and queries on a conversational and contextual level to create impressive visualization and content that improves cost and time efficiency throughout marketing. There are also plenty of deep analytical use cases emerging that can supercharge R&D initiatives and improve the ability of businesses to understand their customer profiles. Generative AI models can even create code on behalf of users to design websites and create unique on-site experiences for visitors. Generative AI models The capabilities of the emerging technology are vast, and we’re still only scratching the surface of what generative AI can achieve in the future. Despite all of its potential throughout the wider world of business, could the most effective use of generative AI today focus on aiding businesses to grow on the world stage? Let’s take a look at the ways GenAI can improve the global outlook for startups and SMEs : startups and SMEs startups and SMEs Maximizing Efficiency One of the key benefits that generative AI offers globally-focused businesses is the luxury of efficiency in cost and time reductions. Through automation technology, businesses can take repetitive tasks away from the responsibility of workers to help allocate more resources to vital operational areas. For smaller businesses, this ability to reallocate task delegation to more complex challenges can help secure growth and prospective expansions into new international markets. Deloitte data suggests that 82% of leaders agree that artificial intelligence will improve the performance and job satisfaction of their employees. Crucially, these findings dispel the long-held belief that the emergence of artificial intelligence will replace humans and instead can be a positive workplace influence by complementing its human counterparts. 82% of leaders 82% of leaders This can pave the way for 1.75 hours saved daily on average, while one-third of survey respondents have reported saving 30 minutes to an hour each day using generative AI tools. 1.75 hours saved 1.75 hours saved Through automation technology, we will see more startups and SMEs gain the ability to look earlier at international markets, and time-saving GenAI tools can aid key decision-makers in exploring possibilities overseas without sacrificing time spent on more repetitive tasks within operational structures. Catering to International Markets Generative AI is also helping startups and SMEs cater directly to international audiences on a more natural level. In terms of marketing overseas, platforms like ChatGPT and Copy.ai have opened the door for brands to create more focused multi-language content that can be created using LLMs with unprecedented accuracy and personalization . accuracy and personalization accuracy and personalization This can help businesses cater their website content directly to the markets they wish to branch into, while tools like DALL-E 2 and Synthesia empower brands to create realistic images and videos from text prompts that can be appropriated to match different cultural and geographical requirements. Generative AI has made it easier than ever to cater to a target audience anywhere in the world in a frictionless manner. For businesses that have identified an opportunity among certain international audiences, the market opportunity could be a significant driver of growth moving forward. Welcoming International Operations The emerging technology can also help refine project and workflow management technology throughout virtually every international industry. This means that factors like scheduling, reporting, and data entry can be delegated and undertaken seamlessly from any office, anywhere. Generative AI can even take task delegation management decisions and convert them into the native language of remote workers, helping to broaden the talent pool available to companies welcoming remote work. In building a presence overseas, generative AI can facilitate collaboration between a US headquarters and a foreign language office in an international location. Machine learning algorithms can even be utilized in the decision-making process ahead of international expansion by analyzing the domestic infrastructure and trade regulations of prospective locations. There are plenty of opportunities on the global stage for companies seeking to expand into new markets. In Latin America, where businesses won’t be impacted by time-zone issues, a number of infrastructural improvements have paved the way for a strong, budget-friendly landscape. According to P&H Law , this could open the door to businesses taking advantage of the Dominican Republic’s trade agreements and bilateral investment treaties with Argentina, Chile, South Korea, Spain, France, Italy, China, and Switzerland, or Mexico’s lower wage expectations , for instance. P&H Law P&H Law bilateral investment treaties bilateral investment treaties lower wage expectations lower wage expectations Embracing the World Stage There’s no doubt that generative AI will bring transformative potential to a vast number of businesses, but this transformation is likely to be most pronounced among ambitious startups and SMEs. generative AI generative AI With the potential of saving time and costs in opening to the world stage, we could see more businesses breaking down the barriers to international markets and opening up to far more extensive markets throughout many new continents. Although fears persist over the future of AI in the workplace, generative tools may hold the key to meaningful growth throughout many sectors, helping to boost human productivity and job satisfaction on an international scale, not replace it.

How Generative AI is Opening the Door to a Global Outlook for Businesses

We all want love. The problem is, how does one find it? For thousands of years, humans relied on personal attraction, matchmakers, dating, and myriad other ways to attract a mate. Today, many people use apps like Tinder, Bumble, or Hinge for example. Dating apps are the best and worst thing that has happened to mankind. On the one hand, it has given us the ability to find thousands of people with no effort. On the other hand, the apps have made us lazy, picky, and too discerning. There may be no going back as we now have millions of potential partners at our fingertips and are not just limited to our little village. But what if the apps are taken to a new level and incorporate AI? While AI can be used for nefarious purposes such as generating fake profile text or creating fake profile images, AI is used for several great reasons to help us find love. For instance, AI can help personalize our experience and narrow down choices to people we would most likely want to meet. It can also help introverted people start a conversation. One of the main barriers to finding love is language. If we can only meet people who speak our language, we are cut off from potential partners who only speak a different language. But what if AI can now help us, through a multi-lingual avatar, speak to anyone we want around the world? Nvidia-backed Generative AI firm Synthesia for example has introduced new software that allows companies to make multilingual video presentations using just your phone or webcam. Taking this one step further, the technology can be personalized for individual users. In its recent keynote event introducing the software, one of the biggest new features the firm showed off was an option to make AI-generated avatars by recording footage using a webcam or your phone. The firm demonstrated how users can also clone their voice to have the avatars speak in multiple different languages. This could be perfect for dating. As long as users adhere to the truth and there are vetting standards in place like there are today, people can meet anyone around the world and converse in any language. Of course, for now this only works through technology and meeting in person and speaking in two different languages will remain difficult until technology improves, and auto-translation apps do a better job at recording and translating. At the moment there are apps such as Google Translate which can be used to listen to a recording in one language and then translate it into any number of other languages. This can be used for conversation but only in a halting and disruptive way that blocks the natural flow of conversation. The question is whether we can develop AI technology that acts a bit like the character Janet from that Netflix show “The Good Place”, where she becomes available just by mentioning her name and helps with any information you need. While still a far way off, the ability to speak to anyone and understand them while conversing in two different languages is drawing closer and, thanks to AI, the language barrier will become history. We all want love. The problem is, how does one find it? For thousands of years, humans relied on personal attraction, matchmakers, dating, and myriad other ways to attract a mate. Today, many people use apps like Tinder , Bumble, or Hinge for example. Tinder Dating apps are the best and worst thing that has happened to mankind. On the one hand, it has given us the ability to find thousands of people with no effort. On the other hand, the apps have made us lazy, picky, and too discerning. There may be no going back as we now have millions of potential partners at our fingertips and are not just limited to our little village. But what if the apps are taken to a new level and incorporate AI? While AI can be used for nefarious purposes such as generating fake profile text or creating fake profile images, AI is used for several great reasons to help us find love. several great reasons For instance, AI can help personalize our experience and narrow down choices to people we would most likely want to meet. It can also help introverted people start a conversation. One of the main barriers to finding love is language. If we can only meet people who speak our language, we are cut off from potential partners who only speak a different language. But what if AI can now help us, through a multi-lingual avatar, speak to anyone we want around the world? Nvidia-backed Generative AI firm Synthesia for example has introduced new software that allows companies to make multilingual video presentations using just your phone or webcam. introduced new software Taking this one step further, the technology can be personalized for individual users. In its recent keynote event introducing the software, one of the biggest new features the firm showed off was an option to make AI-generated avatars by recording footage using a webcam or your phone. The firm demonstrated how users can also clone their voice to have the avatars speak in multiple different languages. This could be perfect for dating. As long as users adhere to the truth and there are vetting standards in place like there are today, people can meet anyone around the world and converse in any language. Of course, for now this only works through technology and meeting in person and speaking in two different languages will remain difficult until technology improves, and auto-translation apps do a better job at recording and translating. At the moment there are apps such as Google Translate which can be used to listen to a recording in one language and then translate it into any number of other languages. This can be used for conversation but only in a halting and disruptive way that blocks the natural flow of conversation. The question is whether we can develop AI technology that acts a bit like the character Janet from that Netflix show “The Good Place”, where she becomes available just by mentioning her name and helps with any information you need. Janet While still a far way off, the ability to speak to anyone and understand them while conversing in two different languages is drawing closer and, thanks to AI, the language barrier will become history.

It’s Time for AI To Help Us Find Love

In the recent past with the genesis of large language models, one thing that we critically debate around is whether like AI art, AI videos, etc will destroy the creativity of content creators or can enhance the quality and assist them. In my , I talked about how AI code-generation tools can help add value to the software development cycle, in this post I will mainly be highlighting how by using AI tools creating video content is not only getting easy and fast but also creative. AI-generated content previous blog Before understanding how one can leverage current video and image models in generating creative and engaging content, it is important to understand what the current state looks like, we can layer the current AI video generation landscape as below: into their workflow like Adobe, Canva, etc. Existing video editors trying to integrate AI like Fliki.ai, unscreen.com, synthesia.ai, hourone.ai, etc. AI-based new-age video editing tools dedicated to single use case in video generation workflow, eg helps in creating realistic images for videos, provides a platform to convert image to video or image to image, helps in adding animation to image, and so on. Abstraction layer Midjourney RunwayML Did which forms the base of the entire landscape, software teams can leverage this layer to customize for their use cases. Model Layer As we move above in layer flexibility to customize decreases while ease of use increases, for the context of this article we will be diving deep to understand how we can use the in generating creative videos since this layer falls in the middle of flexibility and ease of use, and as an artist one needs the best of both worlds. Abstraction layer Building text-to-video pipeline we learn how we can create a pipeline to generate using the tools in the abstraction layer it is important to chalk down what will be steps to generate the video and what tools can be used in each layer. Before text-to-video AI text-to-video generation involves the following steps: 1. Generating scenes from the script using GPT prompts The first step I did was to few-shot-prompt GPT to give out the Hindi script in the form of dialogues between the characters involved in every scene. Input Output 2. Generating images from the scenes This is the crucial step and involves creating the images for the scene which was broken down from the script, it all boils down to how creatively we can express ourselves using the prompt guidelines of , the example below mentions the prompt given to Midjourney to generate an image for a scene. Midjourney A cartoon of scene where Indian old hindu saint is asking for a help with Lord Cloud; Lord cloud is personified and have happiness on his face, the environment around is full of trees with dark clouds and lightening all around 3. Adding animation to the image In case you need to add animation to the image you can use or to add character motion and scene animation. DiD RunwayML 4. Generating AI voice for the scene narration In this step, you can generate the AI voice for the narration using eleven labs, generally, these are Text to speech narration models using behind which may sound a bit robotic but solve the purpose of generating voice, one can make it more expressive and realistic from eleven labs paid version, for this story I needed hindi voice narration for which narration does a great job. Ai4Bharat Text to speech 5. Stitching the video clips and syncing the voice This is the last and simplest step to add the images in a video editor and sync the voice as per scene and narration timeline, tools like Canva, and Adobe Express do a great job here. Rough Cost of Video Production Above is the simplest breakdown of how you can quickly generate video from text using a few basic tools, for my example, I generated an almost ~ 3-minute video with 16 unique scenes, interesting would be to see the time and money I paid to generate this video: Midjourney cost ~ $0.05/image - 16*0.05 = $0.8 RunwayML ~ $0.02/image - 16*0.02 = 0.32 Canva ~ Free of cost since not used their premium artifacts Total Cost ~ $1 /video Comparing it with the new-age AI video editors like which charges almost $28/month for 180 minutes of creation, which would for a video length mentioned above. Fliki cost ~ $0.5 Need to bundle the offering Although the final cost of generating the video in the AI-based video editors seems less compared to the total cost incurred by using tools like Midjourney, RunwayML, etc, with added cost these tools provide flexibility and creativity to a video content creator and can help in generating some amazing videos which can be comparable to an amazing scene of Hollywood movie, it seems that if these AI tools can be bundled and integrated with the workflow of video agency or video production houses they can produce maximum value in video production, as Justine Moore, Partner in thread also reflects the same. @a16z this

AI Stack for Text-to-Video Generation

টেক্সট-টু-ভিডিও জেনারেশনের জন্য এআই স্ট্যাক

KI-Stack für die Text-zu-Video-Generierung

Pila de IA para la generación de texto a vídeo

AI Stack pour la génération de texte en vidéo

टेक्स्ट-टू-वीडियो जेनरेशन के लिए एआई स्टैक

テキストからビデオへの生成のための AI スタック

텍스트-비디오 생성을 위한 AI 스택

AI Stack para geração de texto para vídeo

Стек AI для преобразования текста в видео

Metinden Videoya Üretim için AI Yığını

Ngăn xếp AI để tạo văn bản thành video

用于生成文本到视频的 AI 堆栈

What is The True Price of Generative AI?

জেনারেটিভ এআই এর আসল দাম কত?

Was ist der wahre Preis der generativen KI?

¿Cuál es el verdadero precio de la IA generativa?

Quel est le vrai prix de l’IA générative ?

जेनरेटिव एआई की सही कीमत क्या है?

生成 AI の本当の価格はいくらですか?

제너레이티브 AI의 실제 가격은 얼마인가?

Qual é o verdadeiro preço da IA generativa?

Какова истинная цена генеративного ИИ?

Üretken Yapay Zekanın Gerçek Fiyatı Nedir?

Giá thực sự của AI sáng tạo là gì?

生成式人工智能的真正代价是什么？

Cover for the album by DALL·E 3 In this article, I'll share how I made a project over a weekend to release my album ( ). I'm not a trained musician or composer, but sometimes, tunes pop up in my mind. I jot them down, and then let the computer play them. https://evhaevla.netlify.app/ In 2021, I launched my album titled "Everyone is Happy, Everyone is Laughing." It's a simple album by an unfamiliar "composer" – that's me. I'm not just into music; I'm also a developer, mainly focusing on frontend work recently. I thought, why not combine these two loves? So, I set out to design a website to visually present my album. This article won't dive deep into every technical detail — that would be too lengthy and might not appeal to everyone. Instead, I'll highlight the core concepts and the hurdles I encountered. For those interested, all the code can be found on . GitHub Visual My album is composed for piano, making the decision straightforward. Imagine rectangles descending upon the piano keys. Anyone with a musical inclination has likely encountered numerous videos on YouTube depicting notes in this manner. A rectangle touches a key, illuminating it, indicating the precise moment to strike the note. I’m uncertain of the origin of this visual style, but a quick Google search predominantly yields screenshots of Synthesia. On YouTube, there are creators who manage to produce visually stunning effects. Viewing such videos is a treat, both from aesthetic and musical perspectives. Watch or . this this What will we need to implement? Keys Rectangles Audio Animation Let's tackle each point and put all of these into action. Keys Initially, I assumed that implementing the keys would pose the greatest challenge. However, a quick online search revealed a plethora of examples and guides on how to do just that. Aiming for a design with a touch of elegance, I opted for an created by . example Philip Zastrow All that was left for me to do was replicate the keys several times and establish a grid for the notes to glide across. I employed Vue.js as the frontend framework, and below is the component code. <template>
  <ul style="transform: translate3d(0, 0, 0)">
    <li :id="`key_${OFFSET - 1}`" style="display: none"></li>
    <template v-for="key in keys" :key="key.number">
      <li :class="`${key.color} ${key.name}`" :id="`key_${key.number}`"></li>
    </template>
  </ul>
</template>

<script setup lang="ts">
import { ref } from 'vue'
import type { Key } from '@/components/types'

const OFFSET = 24

const template = [
  {
    color: 'white',
    name: 'c' // Do
  },
  {
    color: 'black',
    name: 'cs' // Do-diez
  },
  {
    color: 'white',
    name: 'd' // Re
  },
  /* ... */
]

const keys = ref<Key[]>([])

for (let i = 0; i < 72; i++) {
  keys.value.push({
    ...template[i % 12],
    number: i + OFFSET
  })
}
</script> I'd like to mention that I appended an attribute to each key, which will be essential when initiating their animations. id Rectangles While this may appear to be the simplest segment, a few challenges are hidden in plain sight. How can the effect of descending notes be accomplished? Is there a need to maintain a structure that can be queried to retrieve the current notes? What’s the best approach to render the outcomes of such queries? Each question presents an obstacle to navigate to achieve the desired effect seamlessly. I won’t linger on each question but will rather cut straight to the chase. Given the myriad challenges associated with the dynamic approach, it’s wise to heed Occam’s Razor and opt for a static solution. Here’s how I addressed it: I rendered all 6215 notes simultaneously on a single expansive canvas. This canvas is housed within a container styled with the property. Achieving the falling notes effect is then simply a matter of animating the of this container. overflow: hidden scrollTop However, a lingering question remains: how do I obtain the coordinates for each note? Fortunately, I have a MIDI file where all these notes are archived, a convenience afforded by being the composer of the album. It boils down to rendering the notes utilizing the data extracted from the MIDI file. Given that the MIDI file is in binary format and I had no intention of parsing it myself, I enlisted the help of the library. midi-file The library is efficient in extracting raw data from MIDI files, but for my needs, that’s not sufficient. I aim to transform this data into a more accessible and application-friendly format to facilitate seamless rendering within the app. midi-file In a MIDI file, it’s not notes in the usual sense that I’m dealing with, but events. There’s a whole array of these events, but I’m primarily focused on two types: 'noteOn', which is triggered when a key is pressed, and 'noteOff', when the key is released. Both 'noteOn' and 'noteOff' events specify the particular note number that was pressed or released, respectively. Time, in the conventional sense, is absent in MIDI. Instead, we have "ticks." The number of ticks per beat is detailed in the MIDI file’s header. Indeed, there's more to consider. A tempo track is also present, containing ‘setTempo’ events that are integral to the process, considering the tempo can change during playback. My initial approach involved adjusting the animation speed of the property of the container to align with the tempo. scrollTop However, I soon realized this wouldn’t yield the expected outcome due to excessive error accumulation. A 'linear' time stretch proved more effective for animating the . scrollTop Even with the animation aspect sorted, the tempo still required incorporation. I addressed this by adjusting the lengths of the notes’ rectangles themselves. While not the optimal solution (manipulating speed would be ideal), this method ensured smoother operation. This solution isn’t perfect, mainly because I associate a tempo event with a note event based on whether they have the same or less time. This means that if another tempo event occurs while a note is still in the playing state, it will simply be disregarded. This could potentially introduce an error, particularly if a note is very long and there's a dramatic tempo change occurring during its playtime. It’s a trade-off. I’ve accepted this minor flaw as I’m focused on rapid development. There are instances where speed takes precedence, and it’s more pragmatic not to get entangled in every detail. So, we're equipped with the following information: The specific key number The precise moment the key is pressed The exact time the key is released The intensity or "speed" at which the key is pressed With these details at hand, I can pinpoint the exact coordinates on the canvas for every note. The key number determines the X-axis, while the commencement of the key press is the Y-axis. The length of the press dictates the rectangle's height. By using a standard div element and setting its position to 'absolute', I successfully achieved the desired effect. Audio I didn't intend to create a synthesizer for the piano, as that would have taken up a lot of time. Instead, I used an existing OGG file that had already been "rendered" and selected Native Instruments' for the sound library. The Grandeur Personally, I believe it's the finest piano VST instrument available. I embedded the resulting OGG file into a standard audio element. My main task then was to synchronize the audio with the animation of my note canvas. scrollTop Animation Before I could tackle synchronization, the animation had to be established first. The canvas animation is fairly straightforward — I animate the from an infinite value down to zero, using linear interpolation. The duration of this animation matches the length of the album. scrollTop When a note descends onto a key, that key illuminates. This means that for each note's descent, I need to "activate" the corresponding key, and once the note completes its course, deactivate it. With a total of 6215 notes, this equates to a whopping 12,430 note activation and deactivation animations. Additionally, I aimed to provide users with the capability to rewind the audio, enabling them to navigate anywhere within the album. To implement such a feature, a robust solution is essential. And when faced with the need for a dependable solution that "just works", my go-to is always the . GreenSock Animation Platform Look at the amount of code it takes to create all the animations for each of the keys. Using to animate components isn't the best practice for Single Page Applications. However, this method is a real time-saver. Recall the I mentioned for each key? This is where they come into play. id id const keysTl = gsap.timeline()
notes.value.forEach((note) => {
  const keySelector = `#note_${note.noteNumber}`

  keysTl
    .set(keySelector, KEY_ACTIVE_STATE, note.positionSeconds)
    .set(keySelector, KEY_INACTIVE_STATE, note.positionSeconds + note.durationSeconds - 0.02)
}) The synchronization code essentially establishes a connection through events between the audio and the GSAP global timeline. audioRef.value?.addEventListener('timeupdate', () => {
  const time = audioRef.value?.currentTime ?? 0
  globalTl.time(time)
})

audioRef.value?.addEventListener('play', () => {
  globalTl.play()
})

audioRef.value?.addEventListener('playing', () => {
  globalTl.play()
})

audioRef.value?.addEventListener('waiting', () => {
  globalTl.pause()
})

audioRef.value?.addEventListener('pause', () => {
  globalTl.pause()
}) Captions Just when I felt like wrapping up, an intriguing idea sprang to mind. What if I added a unique twist to the album? It wasn't originally on my to-do list, but I felt the project wouldn't truly shine without this feature. So, I chose to incorporate it as well. Every time I immerse myself in a track, I find myself reflecting on its deeper meanings. What message was the composer trying to convey? Consider, for instance, in "Nightbook" by Ludovico Einaudi. The piano resonates in the left ear, while the strings echo in the right. a segment It crafts an ambiance of a dialogue unfolding between the two. It feels as if the piano keys are probing: "Do you concur?" The strings affirmatively respond. "Is that the query?" The strings echo their affirmation. The sequence culminates with both instruments converging, symbolizing a realization of unity and harmony. Isn't that a mesmerizing experience? It's imperative to mention that this is purely my personal interpretation. Once, I had the opportunity to attend a Ludovico concert in Milan. After the performance, I approached him and inquired if he had indeed intended to embed the notion of a dialogue in that particular segment. His response was enlightening: "I never pondered it that way, but you certainly possess a vivid imagination." Drawing from that experience, I pondered: what if I integrated subtitles into the sheet music? As specific segments play, commentary could materialize on-screen, providing insights or interpretations into the composer's intent. This feature could offer listeners a deeper understanding or a fresh perspective on "what did the author truly mean?" It was fortunate that I chose GSAP as my animation tool. It allowed me to effortlessly integrate another timeline, specifically tasked with animating the commentary. This addition streamlined the process and made the implementation of my idea much smoother. I had an inclination to introduce the comments via HTML markup. To achieve this, I crafted a component that introduces the animation during the event. onMounted <template>
  <div :class="$style.comment" ref="commentRef">
    <slot></slot>
  </div>
</template>

<script setup lang="ts">
/* ... */

onMounted(() => {
  if (!commentRef.value) return

  props.timeline
    .fromTo(
      commentRef.value,
      {
        autoAlpha: 0
      },
      {
        autoAlpha: 1,
        duration: 0.5
      },
      props.time ? parseTime(props.time) : props.delay ? `+=${props.delay}` : '+=1'
    )
    .to(
      commentRef.value,
      {
        autoAlpha: 0,
        duration: 0.5
      },
      props.time ? parseTime(props.time) + props.duration : `+=${props.duration}`
    )
})
</script> The use of this component would be as follows. <template>
  <div>
    <Comment time="0:01" :duration="5" :timeline="commentsTl">
      <h1>A title for a track</h1>
    </Comment>
    <Comment :delay="1" :duration="13" :timeline="commentsTl">
      I would like to say...
    </Comment> Apotheosis With all the elements in place, the next step was to host the site. I opted for Netlify. Now, I invite you to experience the album and view the final presentation. https://evhaevla.netlify.app I genuinely hope there are other piano-loving developers out there, eager to showcase their albums in such a unique manner. If you're one of them, don't hesitate to fork the project.

Striking a Chord: The Art of Animating Music With Meaning

স্ট্রাইকিং এ কর্ড: দ্য আর্ট অফ অ্যানিমেটিং মিউজিক উইথ মিনিং

Einen Akkord anschlagen: Die Kunst, Musik mit Bedeutung zu beleben

Tocar una fibra sensible: el arte de animar la música con significado

Toucher une corde sensible : l'art d'animer la musique avec du sens

तार छेड़ना: अर्थ के साथ संगीत को सजीव करने की कला

コードを叩く: 意味のある音楽にアニメーションを与える芸術

코드 연주: 음악에 의미를 부여하는 기술

Tocar um acorde: a arte de animar música com significado

Взятие аккорда: искусство оживлять музыку смыслом

Akor Vurmak: Müziği Anlamlı Şekilde Canlandırma Sanatı

Đánh hợp âm: Nghệ thuật tạo nên âm nhạc sống động đầy ý nghĩa

敲响和弦：赋予音乐意义的艺术

While organizations around the globe have long gone on an AI investment spree, the number of artificial intelligence projects that make it from prototypes to production . still fluctuates around 53% Experts believe this often happens due to lacking tech skills, human resources, and tools to scale isolated proof of concepts (PoCs) across other use cases. And the presumably high cost of training separate AI models for different tasks, of course. AI Foundation models — i.e., large machine learning models trained on vast volumes of unlabelled data under the guidance of skilled AI consultants — may be the ultimate answer to the daunting AI scalability and cost problems. Your company could use such models as a starting point to enhance or automate various tasks, from converting paper-based documents into editable text files to . And build on your AI excellence from there, adapting foundation models for future tasks and use cases. uncovering customer sentiment in social media reviews What are foundation models, and how could they help your company excel at AI? Unless you’ve been living under a rock, you’ve heard about . This language model has absorbed tremendous volumes of conversational text using the supervised learning and, at the fine-tuning stage, the reinforcement learning from human feedback (RLHF) approaches. OpenAI’s ChatGPT The generative AI solution can analyze input data and profoundly understand the written language. The smart tool can answer questions, summarize and translate text, produce articles on a given topic, write code, and much more. All you need is to . against 175 billion parameters provide ChatGPT with the right prompts OpenAI’s groundbreaking product is just one example of foundation models that transform as we know it. AI application development Foundation models disrupt AI development as we know it. Instead of training multiple models for separate use cases, you can now leverage a pre-trained AI solution to enhance or fully automate tasks across multiple departments and job functions. With foundation AI models like ChatGPT, companies no longer have to train algorithms from scratch for every task they want to enhance or automate. Instead, you only need to select a foundation model that best fits your use case — and fine-tune its performance for a specific objective you’d like to achieve. Foundation models are perfect for industries where training data can be too hard or expensive to acquire. These industries include , life science, biotechnology, and manufacturing, to name a few. healthcare What types of foundation AI models are there? Several types of foundation AI models are commonly used in business applications: are trained on a dataset that contains a mixture of labeled and unlabeled data. The goal is to use the labeled data to improve the model’s performance on the unlabeled data. AI experts turn to semi-supervised learning when training data is difficult to obtain or would cost your company an arm and a leg. This, for instance, may happen in medical settings where various healthcare IT regulations are enacted. Some common examples of semi-supervised models include pre-trained text document and web content classification algorithms. Semi-supervised learning models are fully trained on unlabeled datasets. They discover patterns in training data or structurize it on their own. Such models, among other things, could segment information into clusters based on the parameters they’ve uncovered in a training dataset. ML engineers turn to auto-encoders, K-Means, hierarchical clustering, and other techniques to create unsupervised machine learning solutions and improve their accuracy. Unsupervised learning models interact with their environment without specific training. When achieving a desired outcome — i.e., making a prediction the developers have hoped for — the models get rewarded. On the contrary, reinforcement learning models are penalized when making wrongful assumptions. The approach allows AI algorithms to make more complex decisions than their supervised and semi-supervised counterparts. An example of reinforcement learning in action would be autonomous vehicles or game-playing artificial intelligence like AlphaGo. Reinforcement learning models produce new data similar to the data they’ve been trained on. This data may include text, images, audio clips, and videos. The ChatGPT solution mentioned in the previous section belongs to this category of foundation AI models. Other examples of generative AI include the , which creates images based on descriptions written in natural language, and the video platform, which uses text-based inputs to produce video content. Generative AI models DALL-E 2 tool Synthesia.io can solve tasks other than they’ve been trained on. For instance, computer vision engineers may leverage pre-trained image classification algorithms for object detection. Or harness existing NLP solutions for more knowledge-intensive tasks, such as customer sentiment analysis. Some popular pre-trained machine learning solutions include OpenCV, a computer vision library containing robust models for object classification and image detection, and Hugging Face’s Transformers library offerings, such as generative pre-trained transformer (GPT) — i.e., a rich language model whose third generation (GPT-3) powers the ChatGPT service. Transfer learning models , unlike their task-orientated equivalents, literally learn to learn (no pun intended). Instead of devouring data to solve a specific problem, such models develop general strategies for problem-solving. This way, meta-learning solutions can easily adapt to new challenges while using their resources, such as memory and computing power, more efficiently. ML experts tap into meta-learning when training data is scarce, or a company lacks definitive plans regarding AI implementation in business. TensorFlow, PyTorch, and other open-source machine learning libraries and frameworks offer tools that allow developers to explore meta-learning techniques. And cloud computing providers like Google help ML experts and newbies train custom machine learning models using AutoML. Meta-learning models Depending on the specific application and the type of data you have, one foundation model may be more appropriate than another. And your company is free to choose between an open-source solution, which needs a bit of tweaking, or a ready-to-use third-party product — provided it meets your business targets. Top 3 reasons to leverage foundation AI models for your next project Compared to standalone, task-oriented machine learning models, foundation models help create reliable AI solutions faster and cheaper, with less data involved and minimal fine-tuning. And that's not to mention that, being trained on more data than a single organization could ever obtain, foundation models display high accuracy from day one. Below you will find a rundown of foundation AI models’ advantages: . Creating and deploying an AI solution requires considerable time and resources. For every new application, you need a separate well-labeled data set. And if you don’t have it, you’ll need a team of data experts to find, cleanse, and label that information. According to Dakshi Agrawal, CTO of IBM AI, foundation models help cut down on data labeling requirements by 10-200 times depending on a given use case, which translates into significant cost savings. On the business side, you should also consider the rising cloud computing expenses. Google, for instance, spent as much as $35 million to teach DeepMind to play Go. And while your AI project may not be half as ambitious, you in cloud server costs alone to get your AI app up and running. Another reason to use foundation models, such as generative AI solutions, is the opportunity to quickly prototype and test different concepts without investing heavily in R&D. Foundation models will help you implement AI faster, cheaper, and with fewer resources involved could easily spend $300,000 . As their name implies, AI foundation models can serve as a basis for multiple AI applications. Think about driving a car. Once you’ve got a driver’s license, you don’t need to pass the exam every time you buy another vehicle. Similarly, you can use a smaller amount of labeled data to train a general-purpose foundation model that summarizes texts to process domain-specific content. And foundation models possess “emergence” capabilities, too, which means that a model, once trained, may learn to solve problems it was not supposed to address or glean unexpected insights from training data. You can reuse foundation AI models to create different applications . Training one large machine learning model footprint as running five cars over their lifetime. Such a heavy carbon footprint stands in sharp contrast with the fact that 66% and 49% of businesses are and developing new climate-friendly services and products, respectively. With foundation AI models, you can train intelligent algorithms faster and utilize computing resources wisely — not the least thanks to the models’ architecture that takes advantage of hardware parallelism, executing several tasks simultaneously. Foundation AI models help achieve your company’s sustainability goals can have the same environmental increasing the efficiency of energy use Deemed “the future of AI,” foundation models lower the threshold for tapping into artificial intelligence and could potentially end the failed AI proof of concept cycle by helping businesses scale models across other use cases and company wide. But with every opportunity comes a challenge. Things to consider when using foundation models The only glaring drawback of foundation AI models is a . lack of explainability Large foundation models can use so much training data and have so many deep layers that it’s sometimes hard to determine how algorithms arrive at their conclusions. The black-box nature of foundation models leaves a backdoor for cybercriminals, too. Hackers can launch data poisoning attacks and introduce , further exacerbating artificial intelligence’s ethical issues. AI bias Technology companies should join forces with governments to set up infrastructure for public AI projects to avoid contention surrounding foundation AI models’ usage. AI vendors should also disclose what datasets they use and how they train their models. As Percy Liang, Stanford HAI faculty and computer science professor, , “We’re very much in the early days, so the professional norms are underdeveloped. It’s therefore imperative that we, as a community, act now to ensure that this technology is developed and deployed in an ethically and socially responsible fashion.” opined during his recent interview with Venture Beat What does it take to start using foundation models in your organization As someone who’s spent the last ten years helping companies implement AI systems, the ITRex team is witnessing a shift in artificial intelligence. Systems that execute specific tasks in a single domain give way to broad AI that learns more generally and works across industries and use cases. Foundation models, trained on large, unlabeled datasets and fine-tuned for various applications, are driving this transformation. If your company is ready to leapfrog your competitors and get ROI from your AI systems faster, here’s a high-level strategy for implementing foundation models: . The first step involves collecting and pre-processing the data you will feed to a foundation AI model. The quality and diversity of this data are critical for ensuring that the fine-tuned model is accurate and robust. Collect and pre-process your data . Many pre-trained AI foundation models are available on the market. Some popular solutions include BERT, GPT, and ResNet, among others. It’s important to choose the right foundation model based on the task you want to solve and the type of data you have. Choose a foundation model . Once your foundation model and data are ready, you can adjust the model’s parameters to your specific task. One way to achieve this goal is transfer learning, where you use the pre-trained weights of the foundation model as a starting point and adjust them based on your training data. Tweak the model in line with your business objectives . After fine-tuning, it’s crucial to determine if the model works well and if further adjustment is necessary. To assess the foundation model’s performance, you can use standard metrics such as accuracy, precision, recall, and F1 score. Evaluate the model . Once you’re satisfied with the performance of your fine-tuned model, you can deploy it in a production environment. Several options for deploying AI models include cloud-based platforms, on-premise servers, or edge devices. Deploy your AI solution It’s important to remember that implementing AI foundation models requires technical expertise and access to specialized hardware and software tools. Therefore, it may be helpful to partner with a specialized AI vendor or consult with a team of AI experts to ensure the process is done effectively. to discuss your AI needs! We’ll assess your company’s AI readiness, audit your data and prepare it for algorithmic analysis, and choose the right foundation model for getting started with artificial intelligence! Drop us a line

Intro to Foundation AI Models: Types, Use Cases, and How to Get Started 

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: User experience (UX) can make or break your website. of online shoppers say they won't revisit a site after a bad experience. And yet, many businesses make the mistake of thinking that a visually appealing website is all needed to engage visitors. But the truth is, a beautiful site won't make much of a difference if it's frustrating to use. This is where user experience design comes in, giving your website the clarity and intuitiveness needed to encourage conversions. Let's face it 88% In today's competitive digital landscape, optimizing your website's user experience is crucial to stay ahead of the game. But with so many elements to consider, where do you even start? What about the balance of design, functionality, and user behavior? Here we'll explore seven ways to optimize your website user experience and take it to the next level. What exactly is User Experience? I am just talking about user experience because "User Experience" (UX) has become increasingly popular over the last few years. But what exactly is UX, and why is it important? User Experience is how a user interacts with a product, service, or system. In the context of digital design, UX is concerned with creating a website or application that is easy to use, visually appealing, and achieves the user's goals efficiently and intuitively. A good user experience should consider the needs and expectations of the target audience, as well as the design and functionality of the product. 7 Ways to Optimize Your Website User Experience Let's get on the practical ways to create UX your target audience loves. optimize your website's user experience and 1) Streamline Navigation Navigation is a critical aspect of user experience design. use a website's navigation menu to orient themselves. 50% of visitors A clear and helps visitors quickly find what they want and move around your site. To improve your site navigation: easy-to-use navigation system Visitors should be able to understand what each menu item means without any confusion. Use straightforward labels for menu items: The menu items and categories should be organized in a logical and easy-to-understand order. It helps visitors to find the content they are looking for more easily. Create a logical and intuitive hierarchy: Including a search bar on your site can help visitors find what they are looking for quickly and easily. Provide a search bar: 2) Optimize Page Speed Just like me or anybody else, expect your web page . Visitors expect fast-loading pages, and and reduced engagement. But how can you improve your site's page speed? Well, there are multiple ways to do that; here are some standard practices: 47% of consumers to load in 2 seconds or less slow load times can lead to higher bounce rates Compress images: Large image files can significantly slow down your page load times. Ensure you to reduce their file size without compromising quality. compress your images Use caching: Caching stores frequently accessed data so that it can be served faster. It can and improve page load times. reduce server response time Minimize HTTP requests: HTTP requests are the number of requests the browser makes to load a page. If we , it may improve page load times. reduce the number of HTTP requests 3) Use Responsive Design Responsive design ensures your website looks great and functions well on any device, from desktop computers to mobile devices. It means your site automatically adjusts its layout based on the screen size it is viewing. To make your website responsive: Start by designing your site for mobile devices, and then scale up to desktop screens. . A flexible layout means your site's content adjusts automatically to the screen size. Go for flexible layouts Ensure your well on various devices, including smartphones, tablets, and desktop computers. site looks and functions 4) Provide Clear Calls to Action Calls to action (CTAs) are buttons, links, or forms. They encourage visitors to take action. Here are a few tips for creating effective CTAs: Your CTAs should stand out from the rest of your site's content, so visitors know exactly . what action to take Make CTA's language , so visitors understand what they will get by clicking on them. clear and simple Use to determine which CTAs are the most effective at driving conversions. A/B testing 5) Focus on Visual Design And Add Interactivity A visually appealing website can increase engagement, improve brand perception, and create a positive emotional response in visitors. To do that: can bring your site to life and create a more professional look. High-quality images The you choose can significantly impact your website's readability and overall look. typography , is the area between design elements. It can help create a clean, modern design, so use it effectively. White space, or negative space How do you deal with interactive visuals if you are not a professional and are on a low budget? You can with no effort. try Synthesia to make professional-looking videos 6) Incorporate Social Proof Incorporating social proof on your website can have a significant impact on enhancing the user experience. Social proof is when people look at others' actions and behaviors to determine their actions. a psychological phenomenon Seeing others engaging with your website and product can create in your brand, improving the user experience. a sense of trust and confidence 7) Create Engaging Content The content on your website plays a crucial role in user experience. Engaging content can capture visitors' attention and keep them on your site for extended periods. Being a content writer, I understand the importance of content for your website. Content is a factor that decides whether a reader will . So here is what I opt for creating engaging content: stay or skip ● Storytelling: Did you notice that ? Do you know why? It's human nature that people are naturally drawn to stories. Use storytelling techniques to create compelling content that resonates with your target audience. people like to read stories ● Break up content with subheadings and bullet points: What if this article is a single large paragraph of 1000 words? Are you going to take a look and skip immediately? So avoid this thing! Long blocks of text can be overwhelming for visitors. You can use subheadings and bullet points to break up content and make it easier to read. ● Include multimedia: Images, videos, and infographics can make your content more engaging and digestible. Include interesting visuals because this will seek user attention and helps to retain users. By implementing these strategies, you can create a user experience that keeps visitors engaged and leads to higher conversions. How can an optimized website help you get more $$? An optimized website is not just about aesthetics and functionality; it can also significantly impact . You can turn them into paying customers by attracting more visitors and engaging them with an exceptional user experience. It means an increase in sales and revenue. your bottom line This can be achieved by incorporating: clear call-to-actions, simplifying the checkout process, or leveraging personalization techniques The goal is to tailor the experience to the individual user. Final Thoughts By putting the user first, you can ensure that your website is the centerpiece of everything. Optimizing your website's user experience is more than just making it look good. What matters is to make it functional and easy to use. Start optimizing your website today and see the results for yourself!

7 Ways to Optimize User Experience on Your Website

Everybody has heard of ChatGPT, which has gained tremendous popularity in enhancing productivity. If you like ChatGPT, you check out these 10 other AI tools that can transform the way you work and live by automating tasks and improving productivity. Whether you’re in data science, business analysis, or simply looking to boost personal productivity, this article is a must-read for anyone looking to utilize the power of AI. HAVE TO 1. MidJourney: AI Art creates unique and imaginative artworks using Artificial Intelligence. With MidJourney AI Art, you can experience the union of technology and creativity, as AI technology produces captivating works of art that blur the lines between human and machine-generated art. Midjourney MidJourney offers a range of AI art services and products for businesses, collectors, and individuals looking to add a touch of innovation to their spaces. 2. Adobe Podcast AI VoiceAI-powered audio enhancer is a powerful tool that leverages Artificial Intelligence (AI) to enhance the quality of audio recordings for podcasts. With its advanced voice processing capabilities, it allows users to produce professional-sounding podcasts with ease. Whether you’re a seasoned podcaster or just starting out, Adobe Podcast AI Voice is the perfect tool to help you elevate the audio quality of your podcast and reach a wider audience. Adobe Podcast AI Voice 3. Synthesia.io: AI video generation platform is an AI-powered platform that offers automated video creation services. It leverages Artificial Intelligence algorithms to quickly and easily create personalized, professional-quality videos that engage and inform the audience. Whether you’re a marketer, salesperson, or just looking to create engaging content, is the perfect solution for creating high-quality videos without the need for extensive editing or design experience. The platform offers a user-friendly interface and a range of customization options, making it easy to create videos that align with your brand and messaging. Synthesia.io Synthesia.io 4. Descript: AI Video Editing is an AI-powered writing and audio/video editing tool. It enables users to create and edit written or audio/video content in a seamless and intuitive manner, without the need for complex software or editing skills. With Descript’s AI algorithms, users can transcribe, edit, and manipulate audio and video recordings, as well as generate captions and subtitles, all in real-time. Whether you’re a writer, podcaster, or video creator, Descript offers a wide range of tools and features that help you produce high-quality content more efficiently, saving you time and improving your workflow. Descript 5. Notion AI: Automatic Content Creation is an AI-powered personal productivity tool that helps users manage their tasks, projects, and notes in a single, unified platform. It uses Artificial Intelligence algorithms to automate repetitive tasks, provide intelligent suggestions, and help users stay organized. Notion AI offers a range of features including task management, project tracking, note-taking, and more, making it the perfect tool for individuals and teams looking to boost their productivity. The platform is highly customizable, making it easy to tailor to your specific needs, and offers integrations with other popular productivity tools, ensuring a seamless workflow. Whether you’re a freelancer, student, or work in a fast-paced corporate environment. Notion AI 6. Runway ML: AI-powered Machine Learning Tool for Creators is an AI-powered platform for creative and digital artists. It enables users to easily experiment with state-of-the-art Artificial Intelligence models, without the need for extensive programming or technical knowledge. Runway ML offers a user-friendly interface and a wide range of pre-trained models, making it easy to create innovative, visually stunning projects that leverage the power of AI. Whether you’re a graphic designer, photographer, or artist, Runway ML provides the tools and resources you need to push the boundaries of your creativity and explore new ways of working with AI. The platform is highly accessible and flexible, making it the perfect solution for artists and creatives looking to incorporate AI into their work. Runway ML 7. Profilepicture.ai: AI-Generated Profile Pictures is a cutting-edge AI tool that helps individuals and businesses optimize their profile pictures for social media and other online platforms. The tool uses Artificial Intelligence algorithms to analyze existing profile pictures and provide actionable insights and recommendations for improvement. You can easily enhance the quality of their profile picture, improve their online presence, and make a great first impression on potential clients, customers, or partners. The platform is user-friendly, fast, and accurate, making it the perfect solution for anyone looking to improve their online presence and make a great impression online. ProfilePicture.ai 8. RATH: AI-assisted Automated Data Analysis is one of the most ground-breaking AI assistants for Automated Data Exploration right now. Transforms traditional Business Intelligence by Automating the Data Analysis process. Empowered with an Augmented Analytics engine for all the data processing tasks, RATH can automate Data Visualization and Data Exploration process and generates valuable insights and recommendations. It is the Copilot for Data Analysis. RATH And, above all, RATH is Open Source Software. You can check out its source codes on . RATH GitHub 9. Fliki: Turn text into videos with AI voices is an AI-powered platform that helps organizations streamline their workflows and improve their productivity. It uses Artificial Intelligence algorithms to automate tasks, provide insights, and make intelligent recommendations, enabling teams to work more efficiently and effectively. Fliki offers a range of features including task management, project tracking, collaboration tools, and more, making it the perfect solution for organizations of all sizes. Fliki The platform is highly customizable, ensuring it can be tailored to meet the specific needs of your team, and offers integrations with popular productivity tools, ensuring a seamless workflow. Whether you’re a small startup or a large corporation, Fliki provides the tools and resources you need to streamline your workflows and boost your productivity. 10. Looka: AI-powered design platform is a powerful AI tool for businesses and entrepreneurs looking to create professional logo designs for their brands. The platform uses Artificial Intelligence algorithms to analyze existing logos and design trends, providing users with a wide range of logo design options that are tailored to their brand and industry. Looka Looka offers an intuitive interface and a user-friendly design process, making it easy for anyone to create a stunning logo design, even if they have no prior design experience. The platform provides a wide range of customization options, allowing users to fine-tune their logo design to meet their specific needs. Whether you’re launching a new business or rebranding an existing one, Looka provides the tools and resources you need to create a professional logo design that accurately represents your brand and appeals to your target audience. Conclusion AI can revolutionize our lives and work by automating tasks and boosting productivity. The top 10 AI tools showcased in this article demonstrate AI's versatility and power in art creation, data analysis, audio and video editing, and personal productivity. For such a fast-developing field as AI, we are expecting more and more exciting new products to come out in the near future.

Top 10 AI Tools to Check Out If You're Bored With ChatGPT

As the world becomes increasingly technology-driven, the integration of artificial intelligence (AI) in our daily lives is becoming more and more prominent. From virtual assistants to personalized recommendations, AI has changed how we interact with technology. In 2023, it’s safe to say that AI will continue to revolutionize how we live, work, and play. With the rapid growth of AI, it can be overwhelming to navigate the ever-growing landscape of AI tools and technologies. In this article, we’re going to highlight 7 of the most exciting and innovative AI tools you should try in 2023. 1. ChatGPT ChatGPT is an advanced language model developed by OpenAI. It allows you to have human-like conversations and more. Moreover, It is trained on a massive dataset of text from the internet and fine-tuned for various conversational tasks, such as answering questions and generating text. ChatGPT In Marketing As a growth marketer, you can use ChatGPT for a variety of tasks like Write attention-grabbing emails and subject lines in a few minutes. Composing emails: : You can use ChatGPT to write engaging social media posts. You can pick your tone and style to fit your brand. Social media content : ChatGPT can help you find keywords for your next article. You can further refine your search by requesting long-tail keywords. Find keywords Are you stuck and need help with your ad copy? ChatGPT can write ad copies for your Facebook, Twitter, Instagram, LinkedIn, and other platforms. Writing Ad copies: : Easily create article or blog ideas within minutes. You can pick your tone, length, and even mood. Content ideas Those are some of the things you can do with ChatGPT. However, the possibilities are endless. They currently have two versions. They have the free version and the paid version called . Try it today. ChatGPT Plus 2. TweetMonk TweetMonk is a user-friendly social media management tool that helps you create engaging content using AI. Furthermore, you can schedule threads and tweets. TweetMonk In Marketing Using TweetMonk, you can save thousands of hours with your Twitter marketing. Some of the things you can do with this AI include : Easily generate hashtags for your tweets. Hashtag Generator Using TweetMonk AI analytics, you can pick the best time to post your tweets. Post Timing: You can queue your tweets with one click or schedule them manually to save you time. Queue Content: Threads have become the go-to place for informative content. You can use TweetMonk to get ideas for your threads and increase engagement. Thread Ideas: Have you come across a tweet you liked? You can use TweetMonk to rewrite the tweet. Rewrite Tweets: Check your tweet performance to see how your tweets perform. Rich Analytics: They have a free account called Explore that allows you some basic features. The paid version starts from $8 and has a 7-day free trial. 3. AISEO Art AISEO art is an AI assistant that helps you turn your ideas into art. You can generate high-quality art in a matter of minutes. Moreover, this tool can help you create creative artwork at a low cost. Features Unlimited image generation. HD quality downloads. Watermark-free images. Some of the things you can do with this AI include Logo creation Posters Website Graphics NFT art Tshirt art and so much more AISEO art offers two pricing packages. The first one goes for $7/month billed yearly or $9/month billed monthly. For $7, you get 400 image generations per month, HD-quality downloads, and watermark-free images. The other package is $15/month billed yearly and $19/month if billed monthly. . Start generating HD images today 4. BlackBox Are you a developer? Then this AI tool is for you. According to their website, BlackBox is your AI-powered coding assistant to help you can code 10X faster. You can code in 20+ languages like Python, JavaScript, TypeScript, Go, Ruby, and others. Moreover, you can turn any question into code. They have a chrome extension that allows you to copy Code from Videos & Images or a shared screen on zoom/teams/meet. They have packages starting at 0.59/week. 5. BeautifulAI BeautifulAI is a tool that helps you create beautiful presentations in minutes. It can design and animate your slides and help you find ideas for your presentation. Moreover, they have 50+ smart templates that you can choose from. The AI adapts each slide’s layout as you add content, thus automating the majority of the work. Other features include Visualize your data. Search for inspiration from templates available. Easy edits Pre-built slides. BeautifulAi pricing starts at $12/month. Create stunning slides today. 6. ChatSonicAI ChatSonicAI is a conversational AI like ChatGPT where you can have human-like conversations. It is different from ChatGPT because it offers answers based on current events and trending topics in real time. Some of ChatSonic features Voice command. Chrome extension Generate art ChatSonic has a free trial that limits you to 6,250 words and 1 user. The other package starts from $19/month for 47,500 words and 1 user. Try ChatSonic 7. Synthesia Transform your text into beautiful HD videos. Synthesia is an AI that allows you to create engaging videos with AI avatars. You can use 120 languages, different templates, a screen recorder, a media library, and more. Features Professional actors 85+ AI avatars Web-based app accessible in your browser Beginner friendly Professional voiceovers Quality videos Free media library Screen Recorder Background music Mp4 downloads Video embedding Closed captions Easy updates Pricing starts at $30/month. Conclusion In conclusion, the world of AI is constantly evolving and expanding, and the tools and technologies we’ve highlighted in this article are just the tips of the iceberg. Whether you’re a business owner looking to streamline your operations or a tech enthusiast, these 7 tools are sure to impress. As you experiment with these AI tools, keep in mind that the true potential of AI lies in its ability to augment human abilities, rather than replace them. By harnessing the power of AI, we can work smarter, not harder, and achieve more in less time. Do you know any other tools? Drop them in the comment section. Was this article helpful? Support me through . Or feel free to reach out at khamisidigital@gmail.com. buy me a coffee

7 Game-Changing AI Tools in 2023

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