Autoregressive model
A model that generates each token from the tokens preceding it.
What Autoregressive model does not show
It predicts a continuation, not whether that continuation is factual, current, or supported by a source.
Terms this definition uses
Related terms in Models and generation
How a model produces text, what its training and decoding controls change, and what none of them can prove about a source.
Transformer · Attention · Self-attention · Parameter · Inference · Pretraining · Fine-tuning · Supervised fine-tuning · Instruction tuning · RLHF · Preference optimization · Knowledge distillation · Quantization · Mixture of experts · Multimodal model · Vision-language model · Small language model · Tokenizer · Temperature · Top-p sampling · Deterministic decoding · System prompt · Developer message · Tool call · Function calling · Structured output · Constrained decoding · Chain of thought · Reasoning trace · Context caching · Context compaction · Model routing · Model drift · Model version
Questions about Autoregressive model
What is Autoregressive model?
A model that generates each token from the tokens preceding it.
What does Autoregressive model not show or guarantee?
It predicts a continuation, not whether that continuation is factual, current, or supported by a source.
Which area of the glossary does Autoregressive model belong to?
Models and generation: How a model produces text, what its training and decoding controls change, and what none of them can prove about a source.
See it in the full glossary · 772 terms across 19 areas.
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