this post was submitted on 28 May 2024
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These are statistical models, meaning that you'll get a different answer each time, also different answers based on context.
Not exactly. The answers would be exactly the same given the exact same inputs if they didn't intentionally and purposefully inject some random jitter into the algorithm each time specifically to avoid getting the same answer each time
It’s not just random jitter, it also likely adds context, including the device you’re using, other recent queries, and your relative location (like what state you’re in).
I don’t work for Google, but I am somewhat close to a major AI product, and it’s pretty much the industry standard to give some contextual info to the model in addition to your query. It’s also generally not “one model”, but a set of models run in sequence— with the LLM (think chatGPT) only employed at the end to generate a paragraph from a conclusion and evidence found by a previous model.
I consider "context", even if not added explicitly by the user, to be part of the input.