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 blog.mozilla.ai
Introducing any-llm: A unified API to access any LLM provider
| | 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.
| | github.com
GitHub - andrewyng/aisuite: Simple, unified interface to multiple Generative AI providers ยท GitHub
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| | Simple, unified interface to multiple Generative AI providers - GitHub - andrewyng/aisuite: Simple, unified interface to multiple Generative AI providers
| | callmephilip.com
[Notes] A Hackers Guide to LLMs - callmephilip
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| | Notes for Jeremy Howard's video A Hackers' Guide to Language Models
| | www.micahwalter.com
AWS Machine Learning - Harness the power of MCP servers with Amazon Bedrock Agents | Micah Walter
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| I've been digging into this new AWS blog post about Model Context Protocol MCP servers and their integration with Amazon Bedrock Agents, and I have to say, I'm...