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alexkolchinski.com | ||
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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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www.markhneedham.com
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| | | | | In this post, we'll learn how to use LLMs on the command line with Simon Willison's llm library. | |
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somehowmanage.com
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| | | | | One of the most interesting patterns that is emerging from Large Language Models (LLMs) is the idea of agents. If you're like me, you can only truly grok a concept by seeing or writing code for it from scratch, so like many other folks, I decided to try building one from scratch. So what is... | |
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dolthub.com
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| | | Blog for DoltHub, a website hosting databases made with Dolt, an open-source version-controlled SQL database with Git-like semantics. | ||
