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Thena

thena

It’s the start of a new year, and while lots of folks are promising to be more active, I’m going to show you how to make s to be more lazy… s, that is. Promise JavaScript Promise It’ll make more sense in a moment. https://www.youtube.com/watch?v=qj7diPVWTqY?embedable=true First, let’s look at a basic example. Here, I have a function called sleep that takes a time in milliseconds and a value. It returns a promise that will execute a for the number of milliseconds that we should wait; then the Promise resolves with the value. Promise setTimeout /**
 * @template ValueType
 * @param {number} ms
 * @param {ValueType} value
 * @returns {Promise<ValueType>}
 */
function sleep(ms, value) {
  return new Promise((resolve) => {
    setTimeout(() => resolve(value), ms);
  });
} It works like this: We can await the function with the arguments and , and after one second, the will log the string, ‘Yawn & stretch’. sleep 1000 'Yawn & stretch' console There’s nothing too special about that. It probably behaves as you would expect, but it gets a little weird if we store it as a variable to later on, rather than ing the returned right away. await await Promise const nap = sleep(1000, 'Yawn & stretch') Now, let’s say we do some other work that takes time (like typing out the next example), and then the variable. await nap You might expect a one-second delay before resolving, but in fact, it resolves immediately. Anytime you create a , you instantiate whatever asynchronous functionality it’s responsible for. Promise In our example, the moment we define the variable, the gets created which executes the . Because I’m a slow typer, the will be resolved by the time we it. nap Promise setTimeout Promise await In other words, s are eager. They do not wait for you to them. Promise await In some cases, this is a good thing. In other cases, it could lead to unnecessary resource use. For those scenarios, you may want something that looks like a , but uses to only instantiate when you need it. Promise lazy evaluation Before we continue, I want to show you something interesting. s are not the only things that can be ed in JavaScript. If we create a plain with a method, we can actually that object just like any . Promise await Object .then() await Promise This is kind of weird, but it also allows us to create different objects that like s, but aren’t. These objects are sometimes called “ “. look Promise Thenables With that in mind, let’s create a new called that extends the built-in constructor. Extending Promise isn’t strictly necessary, but it makes it appear more similar to a using things like . class LazyPromise Promise Promise instanceof class LazyPromise extends Promise {
  /** @param {ConstructorParameters<PromiseConstructor>[0]} executor */
  constructor(executor) {
    super(executor);
    if (typeof executor !== 'function') {
      throw new TypeError(`LazyPromise executor is not a function`);
    }
    this._executor = executor;
  }
  then() {
    this.promise = this.promise || new Promise(this._executor);
    return this.promise.then.apply(this.promise, arguments);
  }
} The part to focus on is the method. It hijacks the default behavior of a standard to wait until the method is executed before creating a real . then() Promise .then() Promise This avoids instantiating the asynchronous functionality until you actually call for it. And It works whether you explicitly call or use . .then() await Now, let’s see what happens if we replace the in the original function with a . Once again, we’ll assign the result to a variable. Promise sleep LazyPromise nap function sleep(ms, value) {
  return new LazyPromise((resolve) => {
    setTimeout(() => resolve(value), ms);
  });
}

const nap = sleep(1000, 'Yawn & stretch') Then we take our time to type out the line and execute it. await nap This time, we see a one-second delay before the resolves regardless of how much time passed since the variable was created. Promise (Note that this implementation only creates the new once and references it in subsequent calls. So if we were to it again, it would resolve immediately like any normal ) Promise await Promise Of course, this is a trivial example that you probably won’t find in production code, but there are many projects that use lazy-evaluated -like objects. Probably the most common example is with database s and query builders like or . Promise ORM Knex.js Prisma Consider the pseudo-code below. It’s inspired by some of these query builders: const query = db('user')
  .select('name')
  .limit(10)

const users = await query We create a database query that goes to the table and selects the first ten entries and returns their names. In theory, this would work fine with a regular . "user" Promise But what if we wanted to modify the query based on certain conditions like query string parameters? It would be nice to be able to continue modifying the query before ultimately awaiting the . Promise const query = db('user')
  .select('name')
  .limit(10)

if (orderBy) {
  query.orderBy(orderBy)
}
if (limit) {
  query.limit(limit)
}
if (id) {
  query.where({ id: id })
}

const users = await query If the original database query was a standard , it would eagerly instantiate the query as soon as we assigned the variable, and we wouldn’t be able to modify it later on. Promise With lazy evaluation, we can write code like this that’s easier to follow, improves the developer experience, and only executes the query once when we need it. That’s one example where lazy evaluation is great. It might also be useful for things like building, modifying, and orchestrating HTTP requests. Lazy s are very cool for the right use cases, but that’s not to say that they should replace every . In some cases, it’s beneficial to instantiate eagerly and have the response ready as soon as possible. Promise Promise This is another one of those “it depends” scenarios. But the next time someone asks you to make a , consider being lazy about it ( ͡° ͜ʖ ͡°). Promise Thank you so much for reading. If you liked this article, please . It's one of the best ways to support me. You can also or if you want to know when new articles are published. share it sign up for my newsletter follow me on Twitter Originally published on . austingil.com

Everything You Need to Know About Promises, Thenables, & Lazy-Evaluation

Todo lo que necesita saber sobre las promesas, las posibilidades y la evaluación perezosa

Tout ce que vous devez savoir sur les promesses, les ficelles et l'évaluation paresseuse

सब कुछ जो आपको वादों, तत्संबंधी, और आलसी-मूल्यांकन के बारे में जानने की आवश्यकता है

Promise、Thenable、遅延評価について知っておくべきこと

Tudo o que você precisa saber sobre promessas, possibilidades e avaliação preguiçosa

Mọi thứ bạn cần biết về lời hứa, khả năng và đánh giá lười biếng

关于 Promises、Thenables 和惰性求值你需要知道的一切

Building Scalable E-commerce Infrastructure on Magento

Good things aren’t as good as you think. Bad things aren’t as bad as you think. The operational definition of good is: “A measure of how many favorable future outcomes are perceived from something.” But your perception isn’t accurate at all. You can only predict so much. Good things can lead to unfavorable outcomes. Bad things can also lead to favorable outcomes. What matters is how you control the outcomes. Make the most of your mistakes. Rotten milk is waste, but when you control the rot, you get yogurt — which costs more than milk. Rotten grapes are waste, but when you control the rot, you get wine — which costs more than grapes. Controlled mistakes bring growth. If you can reflect on your mistakes, extract lessons, generate ideas, and solve problems for yourself and others, instead of hating yourself for them, you’ll become grateful for them. You can’t really forget your mistakes; you need to utilize them to do good. You’re haunted by your mistakes because you haven’t made the most of them. Once you extract value from them, they’re no longer mistakes — they become resources. Your mistakes aren’t “bad” or “good.” You determine that. There’s no absolute good or bad; it’s all about timing and perspective. The parable of the boy and the horse: A rich man buys his son a horse. The villagers say, “Good for him!” The father says, “We’ll see.” The boy breaks his leg riding the horse. The villagers say, “Bad for him!” The father says, “We’ll see.” Then a war starts, and soldiers take all the young men, except the boy — his leg is broken. The villagers go back to saying, “Lucky him.” Sometimes, it was a good thing he got the horse, sometimes it was bad. In the end, it doesn’t matter. It just is. Accept it. If something happens, ignore it. If you can’t ignore it, accept it. If you can’t accept it, change it. Anything beyond that is just noise. Want to see more concepts through a new, practical lens that makes life easier? You’ll love Redefyne. I’ve compiled 100+ operational definitions for daily success, inspired by O.G.s like Naval Ravikant, Alex Hormozi, and much more. The directory is open and free: redefyne.onrender.com Check out this article to learn more about redefyne: https://hackernoon.com/dont-let-dictionaries-keep-you-stuck-understand-and-conquer-the-world-with-redefyne Good things aren’t as good as you think. Bad things aren’t as bad as you think. Good things aren’t as good as you think. Bad things aren’t as bad as you think. The operational definition of good is: “A measure of how many favorable future outcomes are perceived from something.” good “A measure of how many favorable future outcomes are perceived from something.” But your perception isn’t accurate at all. You can only predict so much. Good things can lead to unfavorable outcomes. Bad things can also lead to favorable outcomes. Good things can lead to unfavorable outcomes. Bad things can also lead to favorable outcomes. What matters is how you control the outcomes. control Make the most of your mistakes. Make the most of your mistakes. Rotten milk is waste, but when you control the rot, you get yogurt — which costs more than milk. which costs more than milk. Rotten grapes are waste, but when you control the rot, you get wine — which costs more than grapes. which costs more than grapes. Controlled mistakes bring growth. If you can reflect on your mistakes, extract lessons, generate ideas, and solve problems for yourself and others, instead of hating yourself for them, you’ll become grateful for them. grateful You can’t really forget your mistakes; you need to utilize them to do good. utilize You’re haunted by your mistakes because you haven’t made the most of them. Once you extract value from them, they’re no longer mistakes — they become resources. Your mistakes aren’t “bad” or “good.” You determine that. Your mistakes aren’t “bad” or “good.” There’s no absolute good or bad; it’s all about timing and perspective. The parable of the boy and the horse: A rich man buys his son a horse. The villagers say, “Good for him!” The father says, “We’ll see.” The boy breaks his leg riding the horse. The villagers say, “Bad for him!” The father says, “We’ll see.” Then a war starts, and soldiers take all the young men, except the boy — his leg is broken. The villagers go back to saying, “Lucky him.” Sometimes, it was a good thing he got the horse, sometimes it was bad. In the end, it doesn’t matter. It just is. Accept it. It just is. Accept it. If something happens, ignore it . If you can’t ignore it, accept it . If you can’t accept it, change it . Anything beyond that is just noise. ignore it accept it change it Want to see more concepts through a new, practical lens that makes life easier? You’ll love Redefyne. Want to see more concepts through a new, practical lens that makes life easier? You’ll love Redefyne. I’ve compiled 100+ operational definitions for daily success, inspired by O.G.s like Naval Ravikant, Alex Hormozi, and much more. The directory is open and free : redefyne.onrender.com open and free redefyne.onrender.com Check out this article to learn more about redefyne: https://hackernoon.com/dont-let-dictionaries-keep-you-stuck-understand-and-conquer-the-world-with-redefyne https://hackernoon.com/dont-let-dictionaries-keep-you-stuck-understand-and-conquer-the-world-with-redefyne

Here's Why It Is What It Is

The Trick That Agentic Frameworks Pulled On Us

El truco que nos hicieron los frameworks de gestión de agentes

O truco que nos tiraron os frameworks axentes

A trükk, amelyet az ügynöki keretek rántottak ránk

エージェントフレームワークが私たちに仕掛けたトリック

Triks, ko mūs pamudināja aģentu sistēmas

Trucul pe care ni l-au tras de cadrele agentice

නියෝජිත රාමු අප වෙත ඇදී ගිය උපක්‍රමය

Mashtrimi që Kornizat Agjentike na tërhoqën

Ҳилае, ки чаҳорчӯбаи агентӣ ба мо кашид

Agentic Framework'ün Bize Yaptığı Hile

Трюк, який Agentic Frameworks застосував до нас

Thủ thuật mà các khuôn khổ Agentic đã áp dụng với chúng ta

Next.js v15 — What’s new under the hood

How Logical Clocks Keep Distributed Systems in Sync

For years, Netflix built a reputation as a haven for movie makers seeking artistic freedom – the New Hollywood alternative to the way traditional studios created and distributed movies. Netflix’s approach, prioritizing streaming with some limited theatrical runs, attracted auteurs like Martin Scorsese and Alfonso Cuarón, who sought backing for riskier projects. But this model is now facing pushback from filmmakers who see the potential for box office success. The Glass Onion Controversy Netflix’s current model consists of either streaming movies out of the gate or in a few cases exhibiting them in theaters for very limited runs. Of course, once a movie goes exclusively to streaming, filmmakers lose out on box-office revenues they would earn when movies play in theaters. This model was sorely tested in 2022 with the release of Glass Onion: A Knives Out Mystery. The sequel to the popular Benoit Blanc mystery Knives Out, Glass Onion was distributed by Netflix through three major Old Hollywood theater chains, AMC, Cinemark, and Regal. The movie ran for one week, followed by a blackout period, and then a streaming premiere on Netflix on December 23. Glass Onion: A Knives Out Mystery was a hit  during its one-week showing in only 638 theaters. Box office analysts said it could have earned perhaps hundreds of millions of dollars had it stayed in theaters longer than a week. Jeff Bock, a senior media analyst at Exhibitor Relations, told The Los Angeles Times, “This is probably one of the biggest gaffes in modern film release history in terms of bungling what could have been made at the box office with ‘Glass Onion.’ Daniel Craig, the principal star of Glass Onion, was also harshly critical of Netflix for not capitalizing on the movie’s box office potential. Fast-forward to 2024, and Netflix finds its model being challenged again. Margot Robbie and Greta Gerwig are both involved in high-profile projects that highlight their desire for theatrical releases, pushing back against Netflix’s typical streaming-first model. Margot Robbie and Wuthering Heights Margot Robbie, alongside director Emerald Fennell, turned down a massive $150 million offer from Netflix for their upcoming adaptation of Wuthering Heights. The decision stems from their commitment to a theatrical release, which they believe is essential for the film’s cultural impact. Robbie, who is also producing the film through her company LuckyChap, has seen the success of theatrical releases firsthand with Barbie, which became a cultural phenomenon. Rejecting Netflix’s offer in favor of a theatrical release, likely through Warner Bros., demonstrates their belief that a cinema-first approach will ultimately yield more long-term success and cultural relevance. Greta Gerwig and The Chronicles of Narnia And team Barbie isn’t done with Netflix. Greta Gertwig, who directed Barbie, is under contract with Netflix to direct two films in The Chronicles of Narnia series. She is advocating for a theatrical release on IMAX screens before the films debut on Netflix. Gerwig’s push comes after the massive success of Barbie, and she is reportedly in talks with IMAX to secure a three-to-five week exclusive theatrical window for Narnia, potentially releasing around Thanksgiving 2026. Reportedly, Netflix is more open to making concessions for Gerwig’s project given her influence and the scope of the Narnia series. Given her clout, she will get her way. Competition from Max This kind of pushback is a problem also because other streaming platforms, are happy to be more flexible by giving filmmakers a larger window to distribute movies before going to streaming. For example, Max, part of Warner Bros. Discovery, takes a more hybrid approach. While it also focuses heavily on streaming content, Max has shown more willingness to embrace traditional theatrical releases for certain films, especially those with blockbuster potential. Warner Bros., the parent company, has a long history in theatrical distribution, and this legacy influences how Max handles major releases. For instance, Warner Bros. Discovery has released films like Barbie and Dune in theaters before making them available on Max. This strategy allows Max to capitalize on box office revenue while building buzz for a film’s eventual availability via streaming. Netflix is sitting pretty right now with its stock valuation soaring. But to remain competitive in the war for big-name talent, the New Hollywood leader may need to be willing to emulate the hybrid approach. The Netflix way has worked well for riskier prestige productions with a more narrowly defined audience. But that was then. Margot Robbie and Greta Gerwig are now. And the future. Will Netflix adapt? For years, Netflix built a reputation as a haven for movie makers seeking artistic freedom – the New Hollywood alternative to the way traditional studios created and distributed movies. Netflix’s approach, prioritizing streaming with some limited theatrical runs, attracted auteurs like Martin Scorsese and Alfonso Cuarón, who sought backing for riskier projects. But this model is now facing pushback from filmmakers who see the potential for box office success. The Glass Onion Controversy Glass Onion Netflix’s current model consists of either streaming movies out of the gate or in a few cases exhibiting them in theaters for very limited runs. Of course, once a movie goes exclusively to streaming, filmmakers lose out on box-office revenues they would earn when movies play in theaters. This model was sorely tested in 2022 with the release of Glass Onion: A Knives Out Mystery. Glass Onion: A Knives Out Mystery. The sequel to the popular Benoit Blanc mystery Knives Out , Glass Onion was distributed by Netflix through three major Old Hollywood theater chains, AMC, Cinemark, and Regal. The movie ran for one week, followed by a blackout period, and then a streaming premiere on Netflix on December 23. Knives Out Glass Onion Glass Onion: A Knives Out Mystery was a hit during its one-week showing in only 638 theaters . Box office analysts said it could have earned perhaps hundreds of millions of dollars had it stayed in theaters longer than a week. Jeff Bock, a senior media analyst at Exhibitor Relations, told The Los Angeles Times , “This is probably one of the biggest gaffes in modern film release history in terms of bungling what could have been made at the box office with ‘Glass Onion.’ Glass Onion: A Knives Out Mystery during its one-week showing in only 638 theaters during its one-week showing in only 638 theaters said said told told The Los Angeles Times Daniel Craig, the principal star of Glass Onion , was also harshly critical of Netflix for not capitalizing on the movie’s box office potential. Glass Onion harshly critical of Netflix harshly critical of Netflix Fast-forward to 2024, and Netflix finds its model being challenged again. Margot Robbie and Greta Gerwig are both involved in high-profile projects that highlight their desire for theatrical releases, pushing back against Netflix’s typical streaming-first model. Margot Robbie and Wuthering Heights Wuthering Heights Margot Robbie, alongside director Emerald Fennell, turned down a massive $150 million offer from Netflix for their upcoming adaptation of Wuthering Heights . The decision stems from their commitment to a theatrical release, which they believe is essential for the film’s cultural impact. Robbie, who is also producing the film through her company LuckyChap, has seen the success of theatrical releases firsthand with Barbie , which became a cultural phenomenon. Wuthering Heights Barbie Rejecting Netflix’s offer in favor of a theatrical release, likely through Warner Bros., demonstrates their belief that a cinema-first approach will ultimately yield more long-term success and cultural relevance. Greta Gerwig and The Chronicles of Narnia The Chronicles of Narnia And team Barbie isn’t done with Netflix. Greta Gertwig, who directed Barbie , is under contract with Netflix to direct two films in The Chronicles of Narnia series. She is advocating for a theatrical release on IMAX screens before the films debut on Netflix. Gerwig’s push comes after the massive success of Barbie , and she is reportedly in talks with IMAX to secure a three-to-five week exclusive theatrical window for Narnia, potentially releasing around Thanksgiving 2026. Reportedly, Netflix is more open to making concessions for Gerwig’s project given her influence and the scope of the Narnia series. Given her clout, she will get her way. Barbie Barbie The Chronicles of Narnia advocating for a theatrical release on IMAX screens advocating for a theatrical release on IMAX screens Barbie Narnia Competition from Max This kind of pushback is a problem also because other streaming platforms, are happy to be more flexible by giving filmmakers a larger window to distribute movies before going to streaming. For example, Max, part of Warner Bros. Discovery, takes a more hybrid approach. While it also focuses heavily on streaming content, Max has shown more willingness to embrace traditional theatrical releases for certain films, especially those with blockbuster potential. Warner Bros., the parent company, has a long history in theatrical distribution, and this legacy influences how Max handles major releases. For instance, Warner Bros. Discovery has released films like Barbie and Dune in theaters before making them available on Max. Barbie Dune This strategy allows Max to capitalize on box office revenue while building buzz for a film’s eventual availability via streaming. Netflix is sitting pretty right now with its stock valuation soaring. But to remain competitive in the war for big-name talent, the New Hollywood leader may need to be willing to emulate the hybrid approach. The Netflix way has worked well for riskier prestige productions with a more narrowly defined audience. But that was then. Margot Robbie and Greta Gerwig are now. And the future. Will Netflix adapt?

Why Netflix Might Need to Change Its Film Distribution Strategy

Per què Netflix podria necessitar canviar la seva estratègia de distribució de pel·lícules

Por qué Netflix podría necesitar cambiar su estrategia de distribución de películas

Zergatik aldatu behar izan dezake Netflix-ek bere filma banatzeko estrategia

नेटफ्लिक्स को अपनी फिल्म वितरण रणनीति बदलने की आवश्यकता क्यों पड़ सकती है?

Netflixが映画配給戦略を変える必要がある理由

Неліктен Netflix фильмді тарату стратегиясын өзгертуі мүмкін

Waarom Netflix mogelijk zijn filmdistributiestrategie moet veranderen

Impamvu Netflix ishobora gukenera guhindura ingamba zo gukwirakwiza film

Netflix හට එහි චිත්‍රපට බෙදා හැරීමේ උපාය මාර්ගය වෙනස් කිරීමට අවශ්‍ය වන්නේ ඇයි?

Prečo Netflix môže potrebovať zmeniť svoju stratégiu distribúcie filmov

Waa maxay sababta Netflix ay ugu baahan karto inay bedesho xeeladeeda qaybinta filimada

Чому Netflix може знадобитися змінити свою стратегію розповсюдження фільмів

Creating a Service for Sensitive Data with Spring and Redis

You may want to ask, "What is Coze?" and "Why should I care?" Well, as it is stated on their official website, Coze is a next-generation AI Agent building platform. Coze enables users with all levels of programming (and no code) experience to create various chatbots and deploy them across social platforms and messaging apps like Discord, Telegram, LINE and Slack. Why should I care? Coze has been proven to be very helpful and easy to use. Here is why: - Coze allows you (as a user) to use GPT-4 Turbo (128K) for free. We have seen different techniques, such as RAG and GPT4V. Usually, these require a lot more work to do locally. There is software to install, many things to configure, and many errors to solve. But with Coze, all of these can be done easily, even with no code experience. - As a platform, other bots can be used (as Multi-agent) via their Agent (Bot) Store. Besides, the bot can also be deployed on many other social platforms such as Discord and Telegram.   Imagine sharing your own AI bots with your friends. Isn't it cool? To crown it all, before I show you how to build a GPT4 Workflow/ Chatbot with Coze, the Coze platform offers a Coze Assistant bot, which already has a strong ability to help you create any bot (even with no code experience) and can call another user-created bot by simply typing '@'. How to Build GPT4 Workflow/Chatbot With Coze Step 1 Simply click the '+ Create bot' button on the top left. Give it a name and description of your bot. Click the 'Generate' button below, and the profile picture can be generated easily using Coze AI. Step 2 Then is the most interesting part; a workspace where you can design everything of your bot, in creation. Have you seen 'GPT-4 (8K)' on top? Look up. Here, you can switch the model and change its parameters, such as temperature. Have you heard the debate about whether ChatGPT gets stupid? It's funny right‽ Many said that it's because of the change in ChatGPT temperature. Here you are in control of the temperature of our own bot. Step 3 To begin, write down the persona and prompt of the bot, like 'You are a good translator, and you will translate chats according to the user's chats.' We can even use AI to optimize the translation prompts.  The optimized prompt looks more professional, right? After this, we can change its ability. For example, if we want to gain the ability to gather information from a picture uploaded by the user, we can add the GPT4V plugin in the menu that pops up after we click '+' on the left of 'plugin'. Step 4 A more interesting thing is that we can use our own knowledge base here. First, we need to create a knowledge base on the Coze platform. We can upload PDF documents, Notion links, and many other things here. We can do segmentation in either an automated way or a custom way. Later, we will still be able to edit the segmentation. After this, we add the knowledge base to the bot's workspace. We can choose a call method and set other parameters. If we choose 'on Demand Call', we must add 'recallKnowledge' in the prompt. In addition We can change its opening questions/greetings to reflect its appearance and experience. We can even choose the bot's voice to read its output automatically. Step 5 And finally, click the 'publish' button on the top right corner, and then we can deploy it across various platforms such as Coze's own bot store, Telegram configuring the bot with tokens obtained from BotFather in Telegram, and setting up the bot's interactions and responses. It's also super easy. Note: This does not mention other functions, such as Multi-agent, Skills, and Memory. Coze is really easy to use. You may want to ask, "What is Coze?" and "Why should I care?" Well, as it is stated on their official website , Coze is a next-generation AI Agent building platform. "What is Coze?" "What is Coze?" "Why should I care?" "Why should I care?" official website Coze enables users with all levels of programming (and no code) experience to create various chatbots and deploy them across social platforms and messaging apps like Discord, Telegram, LINE and Slack. Coze enables users with all levels of programming (and no code) experience to create various chatbots and deploy them across social platforms and messaging apps like Discord, Telegram, LINE and Slack. (and no code) Why should I care? Why should I care? Coze has been proven to be very helpful and easy to use. Here is why: - Coze allows you (as a user) to use GPT-4 Turbo (128K) for free. We have seen different techniques, such as RAG and GPT4V. Usually, these require a lot more work to do locally. There is software to install, many things to configure, and many errors to solve. But with Coze, all of these can be done easily, even with no code experience. (as a user) - As a platform, other bots can be used (as Multi-agent) via their Agent (Bot) Store. Besides, the bot can also be deployed on many other social platforms such as Discord and Telegram. Imagine sharing your own AI bots with your friends. Isn't it cool? (as Multi-agent) (Bot) Imagine sharing your own AI bots with your friends. Isn't it cool? Imagine sharing your own AI bots with your friends. Isn't it cool? To crown it all, before I show you how to build a GPT4 Workflow/ Chatbot with Coze, the Coze platform offers a Coze Assistant bot, which already has a strong ability to help you create any bot (even with no code experience) and can call another user-created bot by simply typing '@'. how to build a GPT4 Workflow/ Chatbot with Coze, how to build a GPT4 Workflow/ Chatbot with Coze, How to Build GPT4 Workflow/Chatbot With Coze Step 1 Step 1 Simply click the '+ Create bot' button on the top left. Give it a name and description of your bot. Click the 'Generate' button below, and the profile picture can be generated easily using Coze AI. '+ Create bot' '+ Create bot' 'Generate' 'Generate' Step 2 Step 2 Then is the most interesting part; a workspace where you can design everything of your bot, in creation. Have you seen 'GPT-4 (8K)' on top? Look up. Here, you can switch the model and change its parameters, such as temperature. 'GPT-4 (8K)' 'GPT-4 (8K)' Have you heard the debate about whether ChatGPT gets stupid? It's funny right‽ Many said that it's because of the change in ChatGPT temperature. Have you heard the debate about whether ChatGPT gets stupid? It's funny right‽ Many said that it's because of the change in ChatGPT temperature. Have you heard the debate about whether ChatGPT gets stupid? It's funny right‽ Many said that it's because of the change in ChatGPT temperature. Here you are in control of the temperature of our own bot. Step 3 Step 3 To begin, write down the persona and prompt of the bot, like 'You are a good translator, and you will translate chats according to the user's chats.' We can even use AI to optimize the translation prompts. The optimized prompt looks more professional, right? 'You are a good translator, and you will translate chats according to the user's chats.' 'You are a good translator, and you will translate chats according to the user's chats.' After this, we can change its ability. For example, if we want to gain the ability to gather information from a picture uploaded by the user, we can add the GPT4V plugin in the menu that pops up after we click '+' on the left of 'plugin' . '+' '+' 'plugin' 'plugin' Step 4 Step 4 A more interesting thing is that we can use our own knowledge base here. First, we need to create a knowledge base on the Coze platform. We can upload PDF documents, Notion links, and many other things here. We can do segmentation in either an automated way or a custom way. Later, we will still be able to edit the segmentation. After this, we add the knowledge base to the bot's workspace. We can do segmentation in either an automated way or a custom way. Later, we will still be able to edit the segmentation. After this, we add the knowledge base to the bot's workspace. We can choose a call method and set other parameters. If we choose 'on Demand Call' , we must add 'recallKnowledge' in the prompt. 'on Demand Call' 'on Demand Call' 'recallKnowledge' 'recallKnowledge' In addition In addition We can change its opening questions/greetings to reflect its appearance and experience. We can even choose the bot's voice to read its output automatically. Step 5 Step 5 And finally, click the 'publish' button on the top right corner, and then we can deploy it across various platforms such as Coze's own bot store, Telegram configuring the bot with tokens obtained from BotFather in Telegram , and setting up the bot's interactions and responses. It's also super easy. 'publish' 'publish' Telegram configuring the bot with tokens obtained from BotFather in Telegram Note: This does not mention other functions, such as Multi-agent, Skills, and Memory. Coze is really easy to use. Note:

Design and Deploy AI Chatbot Using Coze: How to Build a GPT4 Workflow/Chatbot for Free

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