1.9K views | Retrieval Augmented Generation (RAG) improves a large language model's responses by checking a reliable knowledge base for information before generating an answer. Have you used this technique yet? Let us know in the comments. #SCALER #generativeai | SCALER | Facebook

5.4K views · 74 reactions | In our Retrieval Augmented Generation course, you’ll learn how LLMs generate tokens, why they sometimes “hallucinate,” and how grounding via retrieval improves factuality. You'll also explore tradeoffs like prompt length, compute costs, and context limits, using Together AI’s open-source models to run real examples and dig into the mechanics.  Learn how LLM internals shape RAG performance: https://hubs.la/Q03G2wlq0 | DeepLearning.AI | Facebook