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What is Fine-Tuning?
Fine-tuning is further training an existing AI model on your own examples so it adapts to a specific style, domain or task.
Fine-tuning is powerful but often unnecessary — strong prompting and RAG solve most business needs without the cost and complexity.
kenai helps teams choose the right approach: prompt, retrieve, or fine-tune, depending on the problem.
Related terms
Large Language Model (LLM) →
A Large Language Model (LLM) is an AI system trained on vast amounts of text to understand and generate human language, powering tools like Claude and ChatGPT.
Retrieval-Augmented Generation (RAG) →
Retrieval-Augmented Generation (RAG) is a technique that lets an AI model answer using your own documents and data, retrieving relevant information before generating a response.
Prompt Engineering →
Prompt engineering is the skill of writing clear, well-structured instructions that get reliable, high-quality results from an AI model.