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Last updated: July 12, 2026, 5:30 PM ET

AI & ML Research

Retrieval-Augmented Generation (RAG) and fine-tuning are distinct techniques addressing different challenges in large language model development. RAG enhances models by providing external data at inference time, while fine-tuning adapts a model's weights to specific tasks or datasets. The choice between them depends on the problem at hand rather than a direct competition.

Developers can in parallel using Claude's code capabilities. This approach allows for complex, multi-agent systems to be managed and executed efficiently.