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Glossary · Models and generation

Context compaction

Replacing older conversation material with a shorter retained representation.

What Context compaction means

It extends long-running work while risking the loss of qualifications, provenance, and low-salience facts.

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 · 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 · Model routing · Model drift · Model version

Questions about Context compaction

What is Context compaction?

Replacing older conversation material with a shorter retained representation.

Which area of the glossary does Context compaction 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.

← Context caching  ·  Model routing →

See it in the full glossary · 731 terms across 19 areas.