Unverified50% confidenceFactExact time
Large language models such as GPT, Claude, and DeepSeek are pre-trained on tens of trillions of tokens of multilingual, multi-domain text, covering data sources including code repositories, academic papers, books, and web pages.
1
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50%
Confidence
Long-term
Relevance
9/1/2026
First Seen
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UnverifiedThe training corpora of large language models such as GPT-4 and Claude primarily come from modern code repositories, technical documentation, and programming forums, with high-level languages such as Python, JavaScript, and Java being overwhelmingly dominant.80% similarUnverifiedThe training corpora of mainstream large language models such as the GPT series and Claude are primarily crawled from internet content dating from the 2000s onward.79% similarVerifiedThe code generation capabilities of large language models such as GPT-4 and Claude stem from the fact that their training data includes hundreds of millions of open-source code repositories on GitHub.79% similarVerifiedLarge language models such as GPT and BERT are based on the self-supervised learning paradigm77% similarUnverifiedLarge language models such as GPT-4 and Claude, through pre-training on massive amounts of code and web data, are able to directly convert text descriptions into HTML, CSS, and JavaScript code.76% similar
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