Fine-tuning
"The process of taking a pre-trained AI model and further training it on a specific, smaller dataset."
What is Fine-tuning?
The process of taking a pre-trained AI model and further training it on a specific, smaller dataset. Botcadence teams apply this in production with Chat Agents.
Deep Dive
While RAG is usually enough for most businesses, fine-tuning can be used for highly specialized industries (like medical or legal) to teach an AI model a specific vocabulary, tone, or highly complex internal logic. Treat Fine-tuning as an operating practice: start narrow, measure outcomes, and only then broaden intents or channels. See Chat Agents. Prefer retrieval first; fine-tune only when chat vocabulary gaps persist after grounding improvements.
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Common Questions