AI Glossary
Fine-tuning
Fine-tuning further trains a pre-trained language model on your own examples so it adapts to a specific tone, format or task.
It’s powerful but not always the right tool, for most business cases, retrieval (RAG) and good prompting get you further, faster, and stay current as your data changes. Fine-tuning earns its place when you need consistent style, a narrow specialised task, or lower latency and cost at scale.
Where we put this to work
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