elyase/awesome-gpt3

Awesome GPT-3 is a curated list of demonstrations, articles, GitHub projects, and commercial products built using OpenAI's GPT-3 language model. It was assembled when GPT-3 first became available via API in 2020 and captures the early wave of experimentation around the technology. The demonstrations section covers a wide range of things people tried with GPT-3 shortly after access opened up. On the coding side, people showed GPT-3 generating HTML layouts, React components, SQL queries, Python scripts, and even machine learning code from plain-English descriptions. On the writing side, examples include drafting emails from bullet points, simplifying legal language, translating text into multiple languages, and rewriting sentences to be more polite. Other demos covered chart generation, answering medical and physics questions, generating food recipes, creating marketing copy, and even playing chess. The articles section links to blog posts and essays from that period discussing how GPT-3 works technically, what it can and cannot do, and broader commentary on the hype surrounding it. These range from technical overviews and paper explanations to more critical pieces about managing expectations. The GitHub section points to a few related open-source projects, including a sandbox tool for turning GPT-3 ideas into demos quickly and libraries for interacting with the API from Python, shell, and Go. The products section lists commercial tools that launched using GPT-3, such as a Tailwind CSS code generator and an email drafting tool. The list has no code of its own. It is a reference document in Markdown format, maintained on GitHub. For anyone trying to understand what people were building with large language models in the early days of the GPT-3 API, this repository provides a snapshot of that moment.