Unverified50% confidenceFactExact time
Large language models (LLMs) are based on deep learning underneath, specifically using the Transformer architecture, trained on massive amounts of text to acquire language patterns, contextual relationships and semantics.
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50%
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Long-term
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10/12/2026
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VerifiedLarge language models are based on the Transformer architecture and are trained on massive amounts of text data.78% similarUnverifiedWith high-quality text input, modern LLMs demonstrate strong semantic extraction capabilities, in some cases approaching the performance of layout-aware specialized systems trained with supervision.74% similarVerifiedTONGYI Lingma's underlying layer relies on the code understanding and generation capabilities of the Tongyi Qianwen series of large language models.73% similarUnverifiedThe NLP direction is based on the Transformer architecture and requires mastery of the principles of pre-trained language models (such as BERT and the GPT series), fine-tuning methods (such as LoRA and Prompt Tuning), and text vectorization techniques.73% similar
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