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Technically they don’t, but OpenAI must be injecting the current date and time into the system prompt, and Gemini just does a web search for the time when asked
by manmal 1y ago
Technically they don’t, but OpenAI must be injecting the current date and time into the system prompt, and Gemini just does a web search for the time when asked.
- tough 1y agoright but that's system prompting / in context not really -trained- into the weights. the point is you can't ask a model what's his training cut off date and expect a reliable answer from the weights itself. closer you could do is have a bench with -timed- questions that could only know if had been trained for that, and you'd had to deal with hallucinations vs correctness etc just not what llm's are made for, RAG solves this tho
- stingraycharles 1y agoWhat would the benefits be of actual time concepts being trained into the weights? Isn’t just tokenizing the dates and including those as normal enough to yield benefits? E.g. it probably has a pretty good understanding between “second world war” and the time period it lasted. Or are you talking about the relation between “current wall clock time” and questions being asked?
- tough 1y agothere's actually some work on training transformer models on time series data which is quite interesting (for prediction purposes) see google TimesFM: https://github.com/google-research/timesfm https://github.com/google-research/timesfm what i mean i guess is llms can -reason- linguistically about time manipulating language, but can't really experience it. a bit like physics. thats why they do bad on exercises/questions about physics/logic that their training corpus might not have seen.
- tough 1y agoOpenAI injects a lot of stuff, your name, sub status, recent threads, memory, etc sometimes its interesting to peek up under the network tab on dev tools
- Tokumei-no-hito 1y agostrange they would do that client side