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 dhariri.com
Using LLMs in Production - David Hariri
| | somehowmanage.com
Writing an LLM Agent in 50 Lines of Code (or no Code at All) - Somehow Manage
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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...
| | 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.
| | til.simonwillison.net
Using the ChatGPT streaming API from Python | Simon Willison's TILs
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| | I wanted to stream the results from the ChatGPT API as they were generated, rather than waiting for the entire thing to complete before displaying anything.
| | www.onlandscape.co.uk
8505 Artem Sapegin | On Landscape
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| [AI summary] The article discusses the privacy and cookie policies of the online magazine 'On Landscape', which focuses on landscape photography, and includes information about its registration and social media presence.