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My understanding is that the implementation of modern hosted LLMs is nondeterministic even with known seed because the generated results are sensitive to a numb
by dragonwriter 1y ago
My understanding is that the implementation of modern hosted LLMs is nondeterministic even with known seed because the generated results are sensitive to a number of other factors including, but not limited to, other prompts running in the same batch.
- westurner 1y agoGemini, for example, launched implicit caching on or about 2025-05-08: https://developers.googleblog.com/en/gemini-2-5-models-now-support-implicit-caching/ https://developers.googleblog.com/en/gemini-2-5-models-now-s... : > Now, when you send a request to one of the Gemini 2.5 models, if the request shares a common prefix as one of previous requests, then it’s eligible for a cache hit. We will dynamically pass cost savings back to you, providing the same 75% token discount. > In order to increase the chance that your request contains a cache hit, you should keep the content at the beginning of the request the same and add things like a user's question or other additional context that might change from request to request at the end of the prompt. From https://news.ycombinator.com/item?id=43939774 https://news.ycombinator.com/item?id=43939774 re: same: > Does this make it appear that the LLM's responses converge on one answer when actually it's just caching?