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title: Best LLM posts — March 2023 | daily.dev
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# Best of LLM — March 2023

1. 1  
[](https://daily.dev/posts/the-end-of-front-end-development-xqilcdkth "The End of Front-End Development")  
Article  
![Avatar of joshwcomeau](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/4a121572d03c40a2bff9e8ed0f0792b5)Josh W Comeau · 3y  
The End of Front-End Development  
GPT-4 can take a hand-drawn sketch of a website, and turn it into a fully-functional website, including a bit of JS to wire up the “Reveal Punchline” button. This is remarkable, and I think it has a lot of potential when it comes to prototyping.  
936  
103
2. 2  
[](https://daily.dev/posts/nomic-ai-gpt4all-gpt4all-run-open-source-llms-anywhere-lx7ldfr8t "nomic-ai/gpt4all: gpt4all: run open-source LLMs anywhere")  
Article  
![Avatar of community](https://media.daily.dev/image/upload/t_logo,f_auto/v1655817725/logos/community)Community Picks · 3y  
nomic-ai/gpt4all: gpt4all: run open-source LLMs anywhere  
GPT4All is an ecosystem to run powerful and customized large language models locally on consumer grade CPUs and any GPU. It allows you to download and plug in 3GB - 8GB GPT4All model files.  
44
3. 3  
[](https://daily.dev/posts/generative-ai-now-powers-shutterstock-s-creative-platform-making-visual-content-creation-effortless-6ouxmdsku "Generative AI Now Powers Shutterstock’s Creative Platform: Making Visual Content Creation Effortless")  
Article  
![Avatar of mlnews](https://media.daily.dev/image/upload/s--0PoEtdkd--/f_auto/v1750409401/squads/marktechpost?_a=BAMClqZW0)Machine Learning News · 3y  
Generative AI Now Powers Shutterstock’s Creative Platform: Making Visual Content Creation Effortless  
With over 2 million contributors, Shutterstock uploads hundreds of thousands of new photos every week, resulting in a vast library of more than 424 million images and 27 million video clips. Shutterstock’s extensive library offers high-quality, licensed media in a variety of forms, including pictures, vectors, drawings, 3D models, films and music.  
11  
2
4. 4  
[](https://daily.dev/posts/llms-will-fundamentally-change-software-engineering-bs7gkmzop "LLMs will fundamentally change software engineering")  
Article  
![Avatar of devto](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/devto)DEV · 3y  
LLMs will fundamentally change software engineering  
Large Language Models (LLMs) have the potential to fundamentally change software engineering. They are highly useful in programming, providing autocomplete, generating code, and improving documentation. Working with LLMs can lead to shifts in software architecture, system architecture, programming practices, communication patterns, and organizational structures. The use of LLMs allows for faster code development, exploration, and prototyping, as well as continuous code review and tool building. However, there are also concerns around the quality and validity of code generated by LLMs.  
11  
1
5. 5  
[](https://daily.dev/posts/large-language-models-are-having-their-stable-diffusion-moment-wjs0ph7q9 "Large language models are having their Stable Diffusion moment")  
Article  
![Avatar of simonwillison](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/cf12b897300740218b35f49a6309ec5b)Simon Willison · 3y  
Large language models are having their Stable Diffusion moment  
Large language models like Stable Diffusion and LLaMA are making it possible for developers to generate images and run language models on their own hardware. This has led to an explosion of innovation in generative AI and has raised concerns about potential misuse of the technology.  
10  
1

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