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Just wanted to add a note to this. Tool calling - particularly to source external current data - is something that's had the big foundational LLM providers very nervous so they've held back on it, even though it's trivial to implement at this point. But we're seeing it rapidly emerge with third party providers who use the foundational APIs. Holding back tool calling has limited the complex graph-like execution flows that the big providers could have implemented on their user facing apps e.g. the kind of thing that Perplexity Pro has implemented. So they've fallen behind a bit. They may catch up. If they don't they risk becoming just an API provider.


I'm hoping a lot of the graph-like execution flow engines are still in stealth mode, as believe that's where we'll start to see truly useful AI.

Mass data parsing and reformatting is useful... but building agents that span existing APIs / tools is a lot more exciting to me.

I.e. IFTTT, with automatic tool discovery, parameter mapping, and output parsing handled via LLM




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