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Here’s how retrieval-augmented generation, or RAG, uses a variety of data sources to keep AI models fresh with up-to-date information and organizational knowledge. The post What is retrieval-augmented generation, and what does it do for generative AI? appeared first on The GitHub Blog.

Learn how your organization can customize its LLM-based solution through retrieval augmented generation and fine-tuning. The post Customizing and fine-tuning LLMs: What you need to know appeared first on The GitHub Blog.