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You are here		blog.mozilla.ai Introducing any-llm: A unified API to access any LLM provider
|	|	isthisit.nz Prompting GPT Models to Return JSON	2.4 parsecs away Travel
|	|	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.
|	|	til.simonwillison.net Using OpenAI functions and their Python library for data extraction | Simon Willison's TILs	2.4 parsecs away Travel
|	|	Here's the pattern I figured out for using the openai Python library to extract structured data from text using a single call to the model.
|	|	github.com GitHub - andrewyng/aisuite: Simple, unified interface to multiple Generative AI providers · GitHub	2.8 parsecs away Travel
|	|	Simple, unified interface to multiple Generative AI providers - GitHub - andrewyng/aisuite: Simple, unified interface to multiple Generative AI providers
|	|	ectobit.com Parsing custom datetime format in Rust using serde | Ectobit	21.9 parsecs away Travel
|		Parsing standard datetime format is no hassle, but what to do when you have custom datetime format?

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