Unverified50% confidenceFactExact time
Mainstream large language models (such as the GPT and Llama series) use an autoregressive approach to predict the next word token by token, and the generation process is serial.
1
Sources
50%
Confidence
Long-term
Relevance
10/31/2026
First Seen
Sources
Google's Gemini 4 Carbon Tops the Chart, Mistral Open-Sources Trillion-Parameter Model
bilibiliBLUEfeee10/29/2026
Related Entities
Related Claims
UnverifiedAutoregressive generation is the foundational paradigm for virtually all current large language models, generating text sequences token by token; the GPT series, LLaMA, and Claude all adopt this paradigm.80% similarUnverifiedA large language model (LLM) refers to an artificial intelligence model trained on massive text data that can generate coherent natural language, such as the GPT series.77% similarUnverifiedExtracting and structuring opinions from text can be done with the few-shot prompting of large language models (such as GPT-4), or with rule-based pattern matching or fine-tuned BERT-like models.76% similarUnverified当前主流大语言模型几乎都采用自回归方式逐 token 顺序生成文本74% similarVerifiedGPT-series models use the Byte Pair Encoding (BPE) algorithm to segment text into tokens.73% similar
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