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 til.simonwillison.net
Using OpenAI functions and their Python library for data extraction | Simon Willison's TILs
| | josephm.dev
Return JSON from GPT
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| | Get the OpenAI API to return a JSON object.
| | blog.mozilla.ai
Introducing any-llm: A unified API to access any LLM provider
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| | When it comes to using LLMs, it's not always a question of which model to use: it's also a matter of choosing who provides the LLM and where it is deployed. Today, we announce the release of any-llm, a Python library that provides a simple unified interface to access the most popular providers.
| | isthisit.nz
Prompting GPT Models to Return JSON
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| | August 2024 Update: Now a solved problem. Use Structured Outputs. Large language models (LLMs) return unstructured output. When we prompt them they respond with one large string. This is fine for applications such as ChatGPT, but in others where we want the LLM to return structured data such as lists or key value pairs, a parseable response is needed. In Building A ChatGPT-enhanced Python REPL I used a technique to prompt the LLM to return output in a text format I could parse.
| | blog.pamelafox.org
Best practices for prompting GitHub Copilot in VS Code
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| I've been using GitHub Copilot for the last six months in repositories large and small, old and new. For me, GitHub Copilot is the pair ...