3 ms·
Why would your projection be this - SELECT LLM("{user_question}", ? You can train a small llm on your private data to map the user question to tables in your d
by jamesblonde 3y ago
Why would your projection be this - SELECT LLM("{user_question}", ?
You can train a small llm on your private data to map the user question to tables in your db.
Then Just select with a limit ( or time bounded).
The feature store is just another operational store that could have relevant data for the query.
- fkyoureadthedoc 3y ago> You can train a small llm on your private data to map the user question to tables in your db. Can you? You've personally done this? Deployed it to production at some kind of non trivial scale and it's working well? I'm not aware of any "small llm" that approaches the quality of gpt-3.5.
- philipodonnell 3y agoThis is called Text2SQL or NL2SQL, it’s a surprisingly difficult problem even with RAG and GPT4 as soon as the query is non trivial, especially if there are semantic differences between the question and the db schema.