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You are here		ambience.sk Finetune OpenAI Model with JSON Schema Structured Output - Ambience
\|	\|	isthisit.nz Prompting GPT Models to Return JSON 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.	3.7 parsecs Travel
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\|	\|	til.simonwillison.net Using OpenAI functions and their Python library for data extraction \| Simon Willison's TILs 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.	4.6 parsecs Travel
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\|	\|	blog.miguelgrinberg.com Eliza-GPT: The Classic ELIZA Chatbot Running On OpenAI's Chat Completions API - miguelgrinberg.com miguelgrinberg.com	5.4 parsecs Travel
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\|	\|	til.simonwillison.net Running a scheduled function on Val Town to import Atom feeds into Datasette Cloud \| Simon Willison's TILs Val Town is a neat service for hosting short server-side JavaScript programs online - reminiscent of a combination of Glitch and Observable Notebooks.	23.9 parsecs Travel
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