I am not sure that this is going to negate the usage of RAG, but rather, enhance it greatly. I think even as models get larger context windows AND more effectivly use the entire context, RAG still has its place. This is because time and cost increase per amount of tokens, so it is still benificial to pass it more relevant data especially as the size of your information grows
Great video overall. However there is a small error in the link in the description. ")" closing bracket is a part of the link breaking it. Thanks for sharing insights about this paper!
I am not sure that this is going to negate the usage of RAG, but rather, enhance it greatly. I think even as models get larger context windows AND more effectivly use the entire context, RAG still has its place. This is because time and cost increase per amount of tokens, so it is still benificial to pass it more relevant data especially as the size of your information grows
Great video overall. However there is a small error in the link in the description. ")" closing bracket is a part of the link breaking it. Thanks for sharing insights about this paper!
Should be fixed now. Thank you!
Is it necessary to convert word into vectors for making llm application now ???????????????
Can gtp4o context windows remember people's Obsidian Vaults?
It's pronounced Lim-er-ick.