Fine-tuning
Additional training that adapts an existing model using a narrower dataset.
What Fine-tuning does not show
It can change behavior or domain performance, but it cannot guarantee compliance with every prompt.
Where Fine-tuning comes up on this site
- Content Signals in robots.txt: search, ai-input, ai-trainThe three content signals and what refusing each one costs .t{font:600 13px system-ui,sans-serif;fill:var(--ink)}.s{font:12px…
Definitions that name Fine-tuning
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 · 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 Fine-tuning
What is Fine-tuning?
Additional training that adapts an existing model using a narrower dataset.
What does Fine-tuning not show or guarantee?
It can change behavior or domain performance, but it cannot guarantee compliance with every prompt.
Which area of the glossary does Fine-tuning 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.
← Pretraining · Supervised fine-tuning →
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