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-Signal in robots.txt: search, ai-input, ai-trainVALUE COVERS IF SET TO NO search index, links, short excerpts dropped from classic results ai-input grounding and live AI answers not quoted in AI answers ai-train training or fine-tuning no effect on reach or citation A signal is a stated preference.
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 →
See it in the full glossary · 772 terms across 19 areas.
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