> For the complete documentation index, see [llms.txt](https://cac-iit-g-and-pathway.gitbook.io/3-week-bootcamp-building-realtime-llm-application/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cac-iit-g-and-pathway.gitbook.io/3-week-bootcamp-building-realtime-llm-application/retrieval-augmented-generation-and-llm-architecture/primer-to-rag-pre-trained-and-fine-tuned-llms.md). # Primer to RAG: Pre-Trained and Fine-Tuned LLMs Welcome back to our module on LLM Architecture and RAG! Up next is a series of learning resources created by Anup Surendran that sets the stage for your journey ahead. This video serves as a primer, acquainting you with key concepts such as pre-training, RLHF (Reinforcement Learning from Human Feedback), fine-tuning, and in-context learning. {% embed url="" %} These aren't just buzzwords; they're your toolkit for unlocking the full potential of Large Language Models. Understanding these terms will be crucial as they lay the groundwork for our upcoming module, which delves into 'In-Context Learning.' So, stay tuned!