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Show HN: Sourcetable – AI Spreadsheet and Data Platform

news.ycombinator.com

101–105 of 105 posts

Re: Show HN: Sourcetable – AI Spreadsheet and Data Platform

#101

Does this use function-calling on the backend?

We use our own implementation of function calling orchestrated by chain-of-thought. The CoT allows us more granular control over the function calls, rather than zero-shotting and hoping the LLM selects the right functions.

do you prompt chain-of-thought, use a model trained on chain-of-thought, or use o1?

I ask because I am interested in trying out function-calling (without the problem you mentioned of zero-shot sometimes getting it wrong, and then having to validate it and re-send it with a correction prompt if it's invalid)

Re: Show HN: Sourcetable – AI Spreadsheet and Data Platform

#102
post #79

Earlier quoted context omitted.

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Re: Show HN: Sourcetable – AI Spreadsheet and Data Platform

#105

What external checks are included to verify the chatbot output?

Wherever possible, the chatbot output is deterministic, in that to answer a query, we're realtime generating and running code or SQL against your data. Our LLM orchestrates that, and finally evaluates whether the output correctly and adequately answers the question. We also extensively use synthetic data and examples to guide and constrain our models. Another way we're ensuring good-quality output is to ensure good-q…

None of that is external verification. You're using the generating tool to do the verification, leaving the door open for opaque errors.
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