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Glossary · Models and generation

Parameter

A learned numerical value adjusted during training.

What Parameter does not show

Parameter count describes model scale, not accuracy, knowledge coverage, reasoning quality, or the amount of copyrighted material represented.

Where Parameter comes up on this site

Terms this definition uses

Accuracy · Coverage

Definitions that name Parameter

faceted navigation · Mixture of experts · cache-buster

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 · 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 Parameter

What is Parameter?

A learned numerical value adjusted during training.

What does Parameter not show or guarantee?

Parameter count describes model scale, not accuracy, knowledge coverage, reasoning quality, or the amount of copyrighted material represented.

Which area of the glossary does Parameter 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.

← Self-attention  ·  Inference →

See it in the full glossary · 751 terms across 19 areas.