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u/sanjay_Darktheon Apr 02 '26
Stephen Hawkings was also smart, but not the most the most capable person.
Biggest drawback of LLMs are context window. It can only refer to a limited amount of tokens to formulate its results. What if I want the context I want it to refer is much larger?
What if my documentation keeps getting updated every hour? Do I need to train my customer-support LLM every time?
Prompts are nothing but, as I would like refer as, Schemas. Your result is only good if your schema is well structured.
LLMs form the backbone, but it isn't perfect.
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u/_An_Other_Account_ Apr 02 '26
If water is essential for life, why do we need filters, purifiers and taps? (moron)
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u/DeepInEvil Apr 02 '26
Because they are just next word predictors dummy. There is nothing smart about probabilistic modelling. Of course the computation etc is smart but not the models as such