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Glossary · Models and generation

Inference

Running a trained model on an input to produce an output.

What Inference does not show

It uses learned parameters and supplied context; it does not update the model unless a separate learning process occurs.

Where Inference comes up on this site

Terms this definition uses

Parameter

Definitions that name Inference

AEO · log file analysis · Context caching

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.

Autoregressive model · Transformer · Attention · Self-attention · Parameter · 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 Inference

What is Inference?

Running a trained model on an input to produce an output.

What does Inference not show or guarantee?

It uses learned parameters and supplied context; it does not update the model unless a separate learning process occurs.

Which area of the glossary does Inference 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.

← Parameter  ·  Pretraining →

See it in the full glossary · 772 terms across 19 areas.

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