Video ID: ijAq-DDsmyg
YouTube URL: https://www.youtube.com/watch?v=ijAq-DDsmyg
Added At: 04-04-26 15:01:02
Processed: No
Sentiment: -
Categories: Aiengineering, Softwareengineering
Tags: rag, llms, aijobs, softwareengineering
Summary
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Transcript
If you watch these three videos, you'll know more about RAG than 99% of people. First, Stanford CS230 lecture number 8, agents, prompts, and rag. This lecture is a part of Stanford's deep learning course, and it gives you all the foundations you need for the further video. Second is IBM's breakdown, is rag still needed. This video gives you an upto-date practical understanding of when to apply rag and whether or not it's just a keyword people are throwing around or it's something that will actually solve a problem for you. Third is IBM's graph rag versus traditional rag. A lot of engineers can build a rag pipeline, but very few understand how to optimize it and what's going on under the hood. Graphrag uses knowledge graphs instead of flat vector search to dramatically improve accuracy. This is still emerging technology and just knowing this puts you ahead of most candidates in the