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There was a HN article about how LLMs can optimise SQL query execution plans recently.

https://news.ycombinator.com/item?id=49731285

It seems LLMs are better at writing SQL queries than doing the data summarizations themselves. Makes sense as SQL queries occupy much less space in a context window.


Neat. Can this model learn which table indexes to create that would improve performance? In my experience, nested loops will be chosen in a query plan over poorly chosen indexes, but well chosen indexes will result in drastic speed ups.


Is fab process re-engineering something an AI could help with?


Why SDL 2 and not SDL 3? Was the project started before SDL 3 was released?


This was started quite a few years ago


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