According to @DeepLearningAI, its Retrieval Augmented Generation course explains how LLMs generate tokens, why hallucinations occur, and how retrieval-based grounding improves factuality using Together AI’s tooling. According to @DeepLearningAI, the curriculum explicitly explores deployment tradeoffs including prompt length, compute costs, and context limits. According to @DeepLearningAI, this focus on cost and context constraints targets the practical variables practitioners balance when scaling LLM applications.