According to DeepLearning.AI on Twitter, their Retrieval Augmented Generation course offers a comprehensive overview of how large language models (LLMs) generate tokens, the root causes of model hallucinations, and the factuality improvements achieved through retrieval-based grounding. The course also analyzes practical tradeoffs such as prompt length, compute costs, and context window limitations, using Together AI’s production-ready tools as case studies. This curriculum addresses real-world enterprise needs for accurate, cost-effective generative AI, providing valuable insights for businesses seeking to deploy advanced retrieval-augmented solutions and optimize AI-driven workflows (source: DeepLearning.AI Twitter, August 28, 2025).