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| | blog.daniemon.com
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| | How to use ChatGPT function calling to have better control of the API's response, making it easier to use the generated content in your code.
| | til.simonwillison.net
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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.
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| | How to send a stream of data from FastAPI backend to a browser and display it.
| | passo.uno
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| If you've been following the AI space for a while, the MCP acronym might be a familiar sight: it's an open standard for connecting large language models (LLMs) to tools and data. Without the ability to use tools and get data, AI agents are powerless, their knowledge limited to their training set and the context at hand. Giving in to my curiosity, I created an MCP server to demystify this piece of tech and gain a better understanding of its potential. Not all is rosy, but if there's a place where doc tools need to grow, it's this.