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RAG Fine-Tuning: Advanced Techniques for Accuracy and Model Performance
Summary
Fine-tune LLMs in Azure AI Studio using retrieval augmentation to create domain-specific AI systems using state-of-the-art RAFT technique.
Unlock the power of retrieval-augmented generation (RAG) with this hands-on course on RAFT (retrieval-augmented fine-tuning). Learn to integrate fine-tuning with RAG to create domain-specific models that deliver accurate, contextually relevant responses. From understanding core concepts to implementing advanced techniques like RAFT and using tools like Azure AI Studio, this course equips you with the skills to enhance and deploy sophisticated RAG systems. Ideal for AI practitioners aiming to optimize model performance in specialized domains.