> Instead, think of your queries as super human friendly SQL.
> The database? Massive amounts of data boiled down to unique entries with probabilities. This is a simplistic, but accurate way to think of LLMs.
This is a useful model for LLMs in many cases, but it's also important to remember that it's not a database with perfect recall. Not only is it a database with a bunch of bad code stored in it, it samples randomly from that database on a token by token basis, which can lead to surprises both good and bad.
> The database? Massive amounts of data boiled down to unique entries with probabilities. This is a simplistic, but accurate way to think of LLMs.
This is a useful model for LLMs in many cases, but it's also important to remember that it's not a database with perfect recall. Not only is it a database with a bunch of bad code stored in it, it samples randomly from that database on a token by token basis, which can lead to surprises both good and bad.