Unverified60% confidenceFactExact time
A language model in the pre-training stage only learns to continue text and does not understand the concept of answering questions or following instructions
2
Sources
60%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedLarge language models have two inherent weaknesses: their knowledge is cut off at training time and they cannot obtain the latest information, and they can only generate text and cannot directly perform actions.77% similarUnverifiedWhen using a model to polish or rewrite text, simply asking it to preserve the original tone and wording is often insufficient; the more fundamental approach is to rephrase the output in one's own words afterward.77% similarUnverifiedThe researchers acknowledge that the model still falls far short of classical language models trained on trillions of tokens on text tasks.76% similarUnverifiedDuring training the model is required to pick a single next token, but language itself is ambiguous, so the model learns to make a choice no matter what.76% similarUnverifiedDeficiencies in cultural understanding are rooted in insufficient exposure to the language and its cultural corpus during model pretraining, and cannot be remedied by inference-stage techniques alone.76% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/904259API
curl https://kongchang.com/api/v1/knowledge/claims/904259MCP
get_claim(id=904259)