Unverified50% confidenceFactExact time
Large language models are trained on massive corpora that may already contain extensive mathematical literature, problem-solving processes, and even answers to similar problems.
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
Partially VerifiedLarge language models not only understand programming language syntax but have also mastered a large number of design patterns, best practices, and common problem-solving approaches.80% similarUnverifiedAfter large language models exceed a critical scale, new capabilities that were not explicitly taught during the training phase emerge, such as multi-step reasoning, cross-lingual analogy, and tool-use planning.78% similarVerified大语言模型通过在数千亿乃至数万亿个词元（Token）的文本数据上进行自监督预训练77% similarUnverifiedSome large language models are capable of reproducing verbatim the questions and answers from popular benchmarks.76% similarUnverifiedAfter training on tens of trillions of tokens, language models exhibit emergent capabilities such as reasoning, creative writing, and programming.76% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/904603API
curl https://kongchang.com/api/v1/knowledge/claims/904603MCP
get_claim(id=904603)