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Better

better

The HackerNoon Newsletter: Better - An AI Powered Code Reviewer (11/21/2024)

Better - An AI Powered Code Reviewer

আরও ভাল - একটি AI চালিত কোড রিভিউয়ার

Besser – Ein KI-gestützter Code-Reviewer

Better: un revisor de código impulsado por IA

Better – Un outil de révision de code basé sur l'IA

बेहतर - एक AI संचालित कोड समीक्षक

Better - AI 搭載のコードレビューツール

Better - AI 기반 코드 검토기

Melhor - Um revisor de código com tecnologia de IA

Лучше — Рецензент кода на базе искусственного интеллекта

Daha İyi - Yapay Zeka Destekli Kod İncelemecisi

Tốt hơn - Một Trình đánh giá mã được hỗ trợ bởi AI

Better - 一款人工智能代码审查工具

Hello beautiful developers! Being a developer, one of the most boring things I come across is reading Documentation for hours. Despite being the best source of information for using software, their monotony and complexity are sometimes unbearable. That's when an idea hit me— can I make them better? Well, there were a few options. The options #1 and #2 were basically impossible, but Option #3 sounds practical. Not an ideal way to make money but the best way to make a difference. And here comes the Handbooks for Tech, a typical documentation service, only a lot better. What is "Handbooks for Tech"? That's the name of my new business! No, just kidding, it's not a business. It's more of a service for some money. (Is that the definition of a business? I don't know.) Simply put, we write BETTER documentation for software products; It could be for an API, Product analytics tool, or anything! And by doing so, we make sure to make your product stand out, not only from its functionality but also from its creative, easy-to-follow documentation. In short, here's what we do at Handbooks for Tech: We offer product documentation for technical products intended for developers and other tech professionals. They are referred to as "Handbooks", because... it sounds less intimidating than the word "documentation".
They might not be so dense as documentation, since they include only the most important and useful information.
They are simplified at their best and have a non-boring guarantee. And they often include images with doodles to convey important information. Warnings or best practices, for example. But don't worry, it won't affect the professionalism of the product. For more beautiful details, please visit tech-handbooks.carrd.co (I mean, please, I spent hours on creating this one). But why choose this thing? I know, the decision of letting a whole new company take care of your product documentation or updating your existing documentation is a tough decision. Therefore, we've made it easy. If you meet one or more of the following four conditions, you should reach out to "Handbooks for Tech". You want your product's documentation (which is not published yet) to be great and easy-to-follow, and also stand out in the crowd.
You want to give a makeover to your existing product documentation.
Your product documentation is so long, that you want to create a shorter version with only the most used information.
You want to make another developer's day happy. Is that a yes, then? Visit tech-handbooks.carrd.co for more details. What's next? I have finally made the attempt to make tech documentation better. Now all I've got to do is sit back and wait for our beautiful tech companies to reach out! Contact us! And as soon as we get an offer, we'll buy a new domain for the website, of course! Visit the website | Contact form P.S. Feedback or criticism? I’m open to comments! Hello beautiful developers! Being a developer, one of the most boring things I come across is reading Documentation for hours. Despite being the best source of information for using software, their monotony and complexity are sometimes unbearable. That's when an idea hit me— can I make them better? Well, there were a few options. The options #1 and #2 were basically impossible, but Option #3 sounds practical. Not an ideal way to make money but the best way to make a difference. best way to make a difference. best way to make a difference. And here comes the Handbooks for Tech, a typical documentation service, only a lot better. What is "Handbooks for Tech"? That's the name of my new business! No, just kidding, it's not a business. It's more of a service for some money. (Is that the definition of a business? I don't know.) Simply put, we write BETTER documentation for software products; It could be for an API, Product analytics tool, or anything! And by doing so, we make sure to make your product stand out, not only from its functionality but also from its creative, easy-to-follow documentation. In short, here's what we do at Handbooks for Tech: We offer product documentation for technical products intended for developers and other tech professionals. They are referred to as "Handbooks", because... it sounds less intimidating than the word "documentation". They might not be so dense as documentation, since they include only the most important and useful information. They are simplified at their best and have a non-boring guarantee. And they often include images with doodles to convey important information. Warnings or best practices, for example. But don't worry, it won't affect the professionalism of the product. We offer product documentation for technical products intended for developers and other tech professionals. They are referred to as "Handbooks", because... it sounds less intimidating than the word "documentation". They might not be so dense as documentation, since they include only the most important and useful information. They are simplified at their best and have a non-boring guarantee. And they often include images with doodles to convey important information. Warnings or best practices, for example. But don't worry, it won't affect the professionalism of the product. For more beautiful details, please visit tech-handbooks.carrd.co (I mean, please, I spent hours on creating this one). tech-handbooks.carrd.co But why choose this thing? I know, the decision of letting a whole new company take care of your product documentation or updating your existing documentation is a tough decision. Therefore, we've made it easy. If you meet one or more of the following four conditions, you should reach out to "Handbooks for Tech". You want your product's documentation (which is not published yet) to be great and easy-to-follow, and also stand out in the crowd. You want to give a makeover to your existing product documentation. Your product documentation is so long, that you want to create a shorter version with only the most used information. You want to make another developer's day happy. You want your product's documentation (which is not published yet) to be great and easy-to-follow, and also stand out in the crowd. You want to give a makeover to your existing product documentation. Your product documentation is so long, that you want to create a shorter version with only the most used information. You want to make another developer's day happy. Is that a yes, then? Visit tech-handbooks.carrd.co for more details. tech-handbooks.carrd.co What's next? I have finally made the attempt to make tech documentation better. Now all I've got to do is sit back and wait for our beautiful tech companies to reach out! Contact us! Contact us! And as soon as we get an offer, we'll buy a new domain for the website, of course! Visit the website | Contact form Visit the website Contact form P.S. Feedback or criticism? I’m open to comments!

Handbooks for Tech: How I Made Documentation "Better"

To what extent that fintechs could possibly disrupt the market is still hard to predict. But the lending business is no doubt undergoing a paradigm shift. The old model of commercial banks was the interest rate spreads and fees backed by fairly rigid regulatory and sophisticated licensing regimes. The conventional perception of commercial banking functions consists of expanding deposits on a significant scale and then chasing after well-connected large businesses to extend credit. Hence, private small enterprises are usually underserved, suffering financial challenges at different critical moments of their life cycle. A review of the cost of lending makes such financing gaps sensible: commercial banks reported that a small business client was profitable only if it purchased more than three products. In China, lending cost to one small or medium-sized enterprise was as high as 30 percent of the country’s GDP per capita in 2013–2014. Yes, call centers and Internet banking had already been widely used, but they were often created and promoted by bureaucrats from individual banks. The technologies tend to be closed systems and information was not shared across crucial SD 4 trillion US dollars globally. Today, we have reached the digital tipping point. Cost reduction and data accessibility are playing instrumental roles in constructing a customer-centric model in the banking industry. Fifty years ago, ATMs were perceived as breakthroughs for financial inclusion, and they squeezed the cost of serving a client for physical banks to 21%. The rise of Internet banking two decades ago further cut it to 4%. When fintechs are beginning to shake up the industry, the cost finally falls to only 1~2%. Looking beyond individual digital gadgets, we can also find innovations that integrate different parts of the ecosystem into one single data analytic compass. By constantly tracking behavioral data pertaining to small retailers on its internet-based shopping platform, Alibaba is closely monitoring their transactions, constantly collecting valuable data that could be used for generating customized credit scores and risk models, which no banks were able to achieve ever before. The lending process that was built on this approach has proved reliable and timely, where oftentimes no collateral is required. Per transaction, the cost of extending credit has dropped by 1000 times to only 0.36 USD for Alibaba. It appears that traditional brick-and-mortar banks are facing steep challenges posed by fintechs. So, is this an alert that new technology entrants will ‘cherry pick’ key products and quickly eat into banks’ small business market share? Should banks be transformed into technology companies? In fact, customer management approaches targeting SME borrowers already existed even prior to this tipping point. IFC Customer Management in SME Banking report suggests that customer management is a concept explaining good practices of understanding customer needs, matching them with banks’ offers, and managing long-lasting relationships through customer life-cycle. Experiences in the EU and the US have revealed that effective customer management leads to greater profitability — ROE performance. In a study carried out by Roland Berger, a consultancy, Banks are categorized into different performance groups as in Figure 1. Group 1 employs customer management approaches. By contrast, Group 4 and 5 banks have not yet seen the value of strategies. The findings have shown a clear relationship between customer management and the ROE of different performance groups. Segmentation is one of the SME customer management strategies. And the IFC report features Garanti Bank in Turkey as a good example, which involves deciding which SMEs to target and identifying segments requiring distinct offers. At the Bank, industrial sectors were used primarily to sub-segment the customer base. Gender was also used as a parameter of sub-segmentation to a degree. Then, the Bank identifies the individual needs of each sub-segment through in-depth market research. This, in turn, facilitates the development of a sub-segment ‘proposition’ comprising around 20 product bundles. Garanti Bank has a market share of SMEs that is three times higher than in its other segments and has become the leading SME bank in Turkey. Other than segmentation, the IFC has also pointed out acquisition, cross-selling, retention, and collection as fundamental customer management phases. If, in the past, only a few banks could afford to acquire the full set of capabilities in customer management due to considerably high overheads and walled fortresses of data scattered around the world, then today’s digital innovation can make this approach much more viable and applicable for the majority. From this perspective, the customer-centric model does not require a sharp switch of industries but can actually be achieved within the banking sector itself with the help of innovative technologies. The real question now is: Will banks successfully marry digital technologies with their SME customer management approaches in this new age of ‘creative destruction’? If yes, how? If No, why not? Note: The author is the founder of Stonelake Capital (www.stonelake.capital) and wrote this article as a consultant to the World Bank Group. To what extent that fintechs could possibly disrupt the market is still hard to predict. But the lending business is no doubt undergoing a paradigm shift. The old model of commercial banks was the interest rate spreads and fees backed by fairly rigid regulatory and sophisticated licensing regimes. The conventional perception of commercial banking functions consists of expanding deposits on a significant scale and then chasing after well-connected large businesses to extend credit. Hence, private small enterprises are usually underserved, suffering financial challenges at different critical moments of their life cycle. A review of the cost of lending makes such financing gaps sensible: commercial banks reported that a small business client was profitable only if it purchased more than three products. In China, lending cost to one small or medium-sized enterprise was as high as 30 percent of the country’s GDP per capita in 2013–2014. Yes, call centers and Internet banking had already been widely used, but they were often created and promoted by bureaucrats from individual banks. The technologies tend to be closed systems and information was not shared across crucial SD 4 trillion US dollars globally. Today, we have reached the digital tipping point. Cost reduction and data accessibility are playing instrumental roles in constructing a customer-centric model in the banking industry. Fifty years ago, ATMs were perceived as breakthroughs for financial inclusion, and they squeezed the cost of serving a client for physical banks to 21%. The rise of Internet banking two decades ago further cut it to 4%. When fintechs are beginning to shake up the industry, the cost finally falls to only 1~2%. Looking beyond individual digital gadgets, we can also find innovations that integrate different parts of the ecosystem into one single data analytic compass. By constantly tracking behavioral data pertaining to small retailers on its internet-based shopping platform, Alibaba is closely monitoring their transactions, constantly collecting valuable data that could be used for generating customized credit scores and risk models, which no banks were able to achieve ever before. The lending process that was built on this approach has proved reliable and timely, where oftentimes no collateral is required. Per transaction, the cost of extending credit has dropped by 1000 times to only 0.36 USD for Alibaba. It appears that traditional brick-and-mortar banks are facing steep challenges posed by fintechs. So, is this an alert that new technology entrants will ‘cherry pick’ key products and quickly eat into banks’ small business market share? Should banks be transformed into technology companies? In fact, customer management approaches targeting SME borrowers already existed even prior to this tipping point. IFC Customer Management in SME Banking report suggests that customer management is a concept explaining good practices of understanding customer needs, matching them with banks’ offers, and managing long-lasting relationships through customer life-cycle. Experiences in the EU and the US have revealed that effective customer management leads to greater profitability — ROE performance. In a study carried out by Roland Berger, a consultancy, Banks are categorized into different performance groups as in Figure 1. Group 1 employs customer management approaches. By contrast, Group 4 and 5 banks have not yet seen the value of strategies. The findings have shown a clear relationship between customer management and the ROE of different performance groups. Segmentation is one of the SME customer management strategies. And the IFC report features Garanti Bank in Turkey as a good example, which involves deciding which SMEs to target and identifying segments requiring distinct offers. At the Bank, industrial sectors were used primarily to sub-segment the customer base. Gender was also used as a parameter of sub-segmentation to a degree. Then, the Bank identifies the individual needs of each sub-segment through in-depth market research. This, in turn, facilitates the development of a sub-segment ‘proposition’ comprising around 20 product bundles. Garanti Bank has a market share of SMEs that is three times higher than in its other segments and has become the leading SME bank in Turkey. Other than segmentation, the IFC has also pointed out acquisition, cross-selling, retention, and collection as fundamental customer management phases. If, in the past, only a few banks could afford to acquire the full set of capabilities in customer management due to considerably high overheads and walled fortresses of data scattered around the world, then today’s digital innovation can make this approach much more viable and applicable for the majority. From this perspective, the customer-centric model does not require a sharp switch of industries but can actually be achieved within the banking sector itself with the help of innovative technologies. The real question now is: Will banks successfully marry digital technologies with their SME customer management approaches in this new age of ‘creative destruction’? If yes, how? If No, why not? Note: The author is the founder of Stonelake Capital (www.stonelake.capital) and wrote this article as a consultant to the World Bank Group. Note: The author is the founder of Stonelake Capital (www.stonelake.capital) and wrote this article as a consultant to the World Bank Group. Note: The author is the founder of Stonelake Capital (www.stonelake.capital) and wrote this article as a consultant to the World Bank Group.

Do All Banks Have to Become Fintechs to Better Manage SME Customers?

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Bitcoin's surge past $70,000 has reignited the memecoin market, with tokens like $GOAT delivering mind-bending returns of 10,000x in just five days. After analyzing trading data from the TOP 25 memecoins, we've uncovered four proven strategies that separate successful traders from the crowd. Here's your comprehensive playbook for navigating this high-reward market. Editor’s note: This article is for informational purposes only and does not constitute investment advice. Cryptocurrencies are speculative, complex, and involve high risks. This can mean high prices volatility and potential loss of your initial investment. You should consider your financial situation, investment purposes, and consult with a financial advisor before making any investment decisions. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not endorse or guarantee the accuracy, reliability, or completeness of the information stated in this article. #DYOR Strategy 1: Master the Holder Distribution Game Understanding holder distribution patterns has become a crucial edge in memecoin trading. My analysis reveals a three-tier system that smart money watches closely. The first tier, comprising addresses exceeding 800,000 holders, is led by SHIB with 1.51M addresses, followed by DOG, DOGE, MEME, and DEGEN. These tokens consistently demonstrate higher trading volumes and market stability. The second tier, ranging from 300,000 to 800,000 holders, includes BONK and BRETT, each maintaining approximately 700,000 addresses. Notably within this tier, PEPE and WIF have shown growth trajectories, with 30-day increases of 3.02% and 4.86% respectively, outpacing other larger counterparts. The third tier encompasses tokens with 50,000 to 300,000 holders. MEW and MIGGLES stand out with over 100,000 addresses each, while HIGHER, FLOKI, POPCAT, MOCHI, PONKE, MOODENG, and MYRO occupy the 50,000 to 100,000 range. This tier exhibits the highest volatility but also presents significant growth potential. Strategy 2: Decode Liquidity Patterns for Optimal Entry Memecoin trading demands sophisticated liquidity analysis. According to bitsCrunch data, SHIB and WIF currently lead with seven-day volumes reaching $70.2B and $67.3B respectively, but raw volume only tells part of the story. The real profit opportunity lies in understanding the evolving nature of memecoin liquidity. Large-cap memecoins are increasingly becoming pseudo-stable assets, attracting strategic "buy the dip" behavior. Meanwhile, small-cap tokens maintain their role as speculation vehicles, offering higher risk-reward ratios. A prime example is TRUMP's recent performance, showing a buy/sell ratio of 1.66 and 15.9% price increase during the US election events. This demonstrates how traders leverage news catalysts for enhanced returns. Strategy 3: Implement the Advanced Security Matrix Successful memecoin trading requires mastering three critical security dimensions. First, monitor authority concentration metrics to spot red flags early. Second, verify liquidity lock status to protect against rug pulls. Third, analyze address overlap patterns to identify potential market manipulation. My research shows that projects with founder allocations below 5% demonstrate significantly higher success rates. This metric alone has proven invaluable for early identification of promising investments. The emergence of sophisticated trading patterns requires constant vigilance. Watch for complex fund flows between large holders - these often precede significant price movements. Projects showing unusual 24-hour gains warrant particular scrutiny, especially when accompanied by suspicious wallet interactions. Strategy 4: Leverage Social Analytics The social landscape of memecoin trading has evolved dramatically. Traditional metrics focusing on KOL followers (previously requiring 3-5 influencers with 100K+ followers) have given way to more nuanced indicators. Current market leaders often emerge from projects with moderate but highly engaged communities rather than those with massive but passive followings. The temporal distribution of social engagement has become a key success predictor - projects gaining steady support consistently outperform those relying on concentrated promotion campaigns. The New Playbook for Success The Meme Tool Ecosystem Landscape presents five core segments of the overall industry: research tools, safety checks, tracking systems, trading platforms, and launch platforms. Success in today's memecoin market demands a sophisticated approach combining these four strategies. First, establish baseline metrics for project evaluation. Successful launches typically achieve $500-1000 hourly volumes within their first trading day. The crucial $100K market cap milestone serves as an early validation point - 87% of successful projects cross this threshold before significant growth phases. Next, implement a comprehensive monitoring system tracking technical indicators, on-chain analytics, and social sentiment. Pay special attention to volume anomalies, position concentration shifts, and liquidity pool dynamics. Finally, maintain strict risk management protocols. Use tiered stop-loss systems, monitor liquidity ratios continuously, and track social sentiment shifts across platforms. Remember, even the best strategies require proper position sizing and risk controls. The memecoin market continues to offer exceptional return opportunities for traders who approach it systematically. By implementing these four strategies while maintaining rigorous risk management, you position yourself to capture the next wave of memecoin profits. Disclaimer: This analysis is for informational purposes only and should not be construed as financial advice. Cryptocurrency investments carry significant risks, and thorough research is essential before making any investment decisions. Bitcoin's surge past $70,000 has reignited the memecoin market, with tokens like $GOAT delivering mind-bending returns of 10,000x in just five days. After analyzing trading data from the TOP 25 memecoins, we've uncovered four proven strategies that separate successful traders from the crowd. Here's your comprehensive playbook for navigating this high-reward market. Editor’s note: This article is for informational purposes only and does not constitute investment advice. Cryptocurrencies are speculative, complex, and involve high risks. This can mean high prices volatility and potential loss of your initial investment. You should consider your financial situation, investment purposes, and consult with a financial advisor before making any investment decisions. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not endorse or guarantee the accuracy, reliability, or completeness of the information stated in this article. #DYOR Editor’s note: This article is for informational purposes only and does not constitute investment advice. Cryptocurrencies are speculative, complex, and involve high risks. This can mean high prices volatility and potential loss of your initial investment. You should consider your financial situation, investment purposes, and consult with a financial advisor before making any investment decisions. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not endorse or guarantee the accuracy, reliability, or completeness of the information stated in this article. #DYOR Editor’s note: This article is for informational purposes only and does not constitute investment advice. Cryptocurrencies are speculative, complex, and involve high risks. This can mean high prices volatility and potential loss of your initial investment. You should consider your financial situation, investment purposes, and consult with a financial advisor before making any investment decisions. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not endorse or guarantee the accuracy, reliability, or completeness of the information stated in this article. #DYOR Strategy 1: Master the Holder Distribution Game Understanding holder distribution patterns has become a crucial edge in memecoin trading. My analysis reveals a three-tier system that smart money watches closely. holder distribution patterns The first tier, comprising addresses exceeding 800,000 holders, is led by SHIB with 1.51M addresses, followed by DOG, DOGE, MEME, and DEGEN. These tokens consistently demonstrate higher trading volumes and market stability. The second tier, ranging from 300,000 to 800,000 holders, includes BONK and BRETT, each maintaining approximately 700,000 addresses. Notably within this tier, PEPE and WIF have shown growth trajectories, with 30-day increases of 3.02% and 4.86% respectively, outpacing other larger counterparts. The third tier encompasses tokens with 50,000 to 300,000 holders. MEW and MIGGLES stand out with over 100,000 addresses each, while HIGHER, FLOKI, POPCAT, MOCHI, PONKE, MOODENG, and MYRO occupy the 50,000 to 100,000 range. This tier exhibits the highest volatility but also presents significant growth potential. Strategy 2: Decode Liquidity Patterns for Optimal Entry Memecoin trading demands sophisticated liquidity analysis. According to bitsCrunch data, SHIB and WIF currently lead with seven-day volumes reaching $70.2B and $67.3B respectively, but raw volume only tells part of the story. The real profit opportunity lies in understanding the evolving nature of memecoin liquidity. Large-cap memecoins are increasingly becoming pseudo-stable assets, attracting strategic "buy the dip" behavior. Meanwhile, small-cap tokens maintain their role as speculation vehicles, offering higher risk-reward ratios. The real profit opportunity lies in understanding the evolving nature of memecoin liquidity. A prime example is TRUMP's recent performance, showing a buy/sell ratio of 1.66 and 15.9% price increase during the US election events. This demonstrates how traders leverage news catalysts for enhanced returns. Strategy 3: Implement the Advanced Security Matrix Successful memecoin trading requires mastering three critical security dimensions. First, monitor authority concentration metrics to spot red flags early. Second, verify liquidity lock status to protect against rug pulls. Third, analyze address overlap patterns to identify potential market manipulation. My research shows that projects with founder allocations below 5% demonstrate significantly higher success rates. This metric alone has proven invaluable for early identification of promising investments. The emergence of sophisticated trading patterns requires constant vigilance. Watch for complex fund flows between large holders - these often precede significant price movements. Projects showing unusual 24-hour gains warrant particular scrutiny, especially when accompanied by suspicious wallet interactions. Strategy 4: Leverage Social Analytics The social landscape of memecoin trading has evolved dramatically. Traditional metrics focusing on KOL followers (previously requiring 3-5 influencers with 100K+ followers) have given way to more nuanced indicators. Current market leaders often emerge from projects with moderate but highly engaged communities rather than those with massive but passive followings. The temporal distribution of social engagement has become a key success predictor - projects gaining steady support consistently outperform those relying on concentrated promotion campaigns. The New Playbook for Success The Meme Tool Ecosystem Landscape presents five core segments of the overall industry: research tools, safety checks, tracking systems, trading platforms, and launch platforms. research tools, safety checks, tracking systems, trading platforms, and launch platforms. Success in today's memecoin market demands a sophisticated approach combining these four strategies. First, establish baseline metrics for project evaluation. Successful launches typically achieve $500-1000 hourly volumes within their first trading day. The crucial $100K market cap milestone serves as an early validation point - 87% of successful projects cross this threshold before significant growth phases. Next, implement a comprehensive monitoring system tracking technical indicators, on-chain analytics, and social sentiment. Pay special attention to volume anomalies, position concentration shifts, and liquidity pool dynamics. Finally, maintain strict risk management protocols. Use tiered stop-loss systems, monitor liquidity ratios continuously, and track social sentiment shifts across platforms. Remember, even the best strategies require proper position sizing and risk controls. The memecoin market continues to offer exceptional return opportunities for traders who approach it systematically. By implementing these four strategies while maintaining rigorous risk management, you position yourself to capture the next wave of memecoin profits. Disclaimer: This analysis is for informational purposes only and should not be construed as financial advice. Cryptocurrency investments carry significant risks, and thorough research is essential before making any investment decisions.

Memecoin Market Analysis: 4 Strategies for Better Returns in 2024

Authors:
(1) Tony Lee, Stanford with Equal contribution;
(2) Michihiro Yasunaga, Stanford with Equal contribution;
(3) Chenlin Meng, Stanford with Equal contribution;
(4) Yifan Mai, Stanford;
(5) Joon Sung Park, Stanford;
(6) Agrim Gupta, Stanford;
(7) Yunzhi Zhang, Stanford;
(8) Deepak Narayanan, Microsoft;
(9) Hannah Benita Teufel, Aleph Alpha;
(10) Marco Bellagente, Aleph Alpha;
(11) Minguk Kang, POSTECH;
(12) Taesung Park, Adobe;
(13) Jure Leskovec, Stanford;
(14) Jun-Yan Zhu, CMU;
(15) Li Fei-Fei, Stanford;
(16) Jiajun Wu, Stanford;
(17) Stefano Ermon, Stanford;
(18) Percy Liang, Stanford. Table of Links Abstract and 1 Introduction 2 Core framework 3 Aspects 4 Scenarios 5 Metrics 6 Models 7 Experiments and results 8 Related work 9 Conclusion 10 Limitations Author contributions, Acknowledgments and References A Datasheet B Scenario details C Metric details D Model details E Human evaluation procedure 9 Conclusion We introduced Holistic Evaluation of Text-to-Image Models (HEIM), a new benchmark to assess 12 important aspects in text-to-image generation, including alignment, quality, aesthetics, originality, reasoning, knowledge, bias, toxicity, fairness, robustness, multilinguality, and efficiency. Our evaluation of 26 recent text-to-image models reveals that different models excel in different aspects, opening up research avenues to study whether and how to develop models that excel across multiple aspects. To enhance transparency and reproducibility, we release our evaluation pipeline, along with the generated images and human evaluation results. We encourage the community to consider the different aspects when developing text-to-image models. This paper is available on arxiv under CC BY 4.0 DEED license. Authors: (1) Tony Lee, Stanford with Equal contribution; (2) Michihiro Yasunaga, Stanford with Equal contribution; (3) Chenlin Meng, Stanford with Equal contribution; (4) Yifan Mai, Stanford; (5) Joon Sung Park, Stanford; (6) Agrim Gupta, Stanford; (7) Yunzhi Zhang, Stanford; (8) Deepak Narayanan, Microsoft; (9) Hannah Benita Teufel, Aleph Alpha; (10) Marco Bellagente, Aleph Alpha; (11) Minguk Kang, POSTECH; (12) Taesung Park, Adobe; (13) Jure Leskovec, Stanford; (14) Jun-Yan Zhu, CMU; (15) Li Fei-Fei, Stanford; (16) Jiajun Wu, Stanford; (17) Stefano Ermon, Stanford; (18) Percy Liang, Stanford. Authors: Authors: (1) Tony Lee, Stanford with Equal contribution; (2) Michihiro Yasunaga, Stanford with Equal contribution; (3) Chenlin Meng, Stanford with Equal contribution; (4) Yifan Mai, Stanford; (5) Joon Sung Park, Stanford; (6) Agrim Gupta, Stanford; (7) Yunzhi Zhang, Stanford; (8) Deepak Narayanan, Microsoft; (9) Hannah Benita Teufel, Aleph Alpha; (10) Marco Bellagente, Aleph Alpha; (11) Minguk Kang, POSTECH; (12) Taesung Park, Adobe; (13) Jure Leskovec, Stanford; (14) Jun-Yan Zhu, CMU; (15) Li Fei-Fei, Stanford; (16) Jiajun Wu, Stanford; (17) Stefano Ermon, Stanford; (18) Percy Liang, Stanford. Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2 Core framework 2 Core framework 3 Aspects 3 Aspects 4 Scenarios 4 Scenarios 5 Metrics 5 Metrics 6 Models 6 Models 7 Experiments and results 7 Experiments and results 8 Related work 8 Related work 9 Conclusion 9 Conclusion 10 Limitations 10 Limitations Author contributions, Acknowledgments and References Author contributions, Acknowledgments and References A Datasheet A Datasheet B Scenario details B Scenario details C Metric details C Metric details D Model details D Model details E Human evaluation procedure E Human evaluation procedure 9 Conclusion We introduced Holistic Evaluation of Text-to-Image Models (HEIM), a new benchmark to assess 12 important aspects in text-to-image generation, including alignment, quality, aesthetics, originality, reasoning, knowledge, bias, toxicity, fairness, robustness, multilinguality, and efficiency. Our evaluation of 26 recent text-to-image models reveals that different models excel in different aspects, opening up research avenues to study whether and how to develop models that excel across multiple aspects. To enhance transparency and reproducibility, we release our evaluation pipeline, along with the generated images and human evaluation results. We encourage the community to consider the different aspects when developing text-to-image models. This paper is available on arxiv under CC BY 4.0 DEED license. This paper is available on arxiv under CC BY 4.0 DEED license. available on arxiv

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