Check it out: An entire lesson from BloomTech's AI for Developer Productivity course! Fundamentals of RAG (Retrieval-Augmented-Generation). How we enhance accuracy and reliability of generative AI models. This is the foundation we build on to give AI important context.

This covers: * Fundamentals of RAG * Embeddings * Preparing documents for RAG * An understanding of vector databases * Storing documents in a vector database * End-to-end RAG implementation All information of students asking questions has been removed for privacy.

To learn more about the full course: (or shoot me a DM)

confused by title Ai developer productivity? Why doesn’t the curriculum have github copilot or cursor? Building rag from scratch? Maybe I’m crazy but this is not a developer productivity course??? More like how to build software that uses LLM’s, not to write software with LLM’s

Using a code autocomplete is easy, but only scratching the surface of what engineers can do using AI to generate code etc. Currently to get to the next level you have to train whatever model you’re using to have context specific to your code, and that requires RAG.

Blue ocean awaits you if you’re able to turn non devs into somewhat capable devs. Maybe start with the low hanging fruits (dev adjacent folks like PMs)

We’ve been doing that for 7+ years :)

Thanks for sharing

good stuff