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ollama.com | ||
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blog.pamelafox.org
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| | | | | Today I went on a quest to figure out the best way to use SLMs (small language models) like Phi-3 in a GitHub Codespace, so that I can... | |
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isthisit.nz
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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. | |
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til.simonwillison.net
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| | | | | 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. | |
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gist.github.com
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| | | GitHub Gist: instantly share code, notes, and snippets. | ||
