This guy is one of the best AI teachers on KZfaq. He's brilliant.

This is fascinating. As an agentic programmer since the 90's, and son of a gynecologist, I have always sought to code agents specializing themselves. When they are specialized too much to achieve unknown tasks needing mastery of unknown tools old agents give birth to their much needed sibblings. Thank you Sir.

This was great! Take my like and subscribe.

oh I'm a subscriber ahhhh another quality content

I've just stumbled on your channel - Where do I start?

7:00 The llm could be connected to a data stream like a sensory organ or a set to allow augmentation of data and answer unknown.

THX Mister

ASI Explained, super cool 😎

So in a nutshell, its using Google search query to verify the results before presenting them to the user?

Can someone help me find the langchain page with the diagram of their RAG sytem?

Latency, latency, latency

Thanks for the video. Yea, there is no 'final fact checker' so, obviously if the data found in a google search is considered "correct" then the study is obviously going to make such a conclusion. The real problem is why did the experts come to this conclusion... when a google search simply reports a list of locations where "answers" might be found whether wrong or right. I am at a loss as to how professionals decided that all information (whether correct or incorrect) is "valid" as an answer, but perhaps I am misunderstanding this as it is presented.

Vector space - is that what Pinecone is for?

is there any github project to test it?

superhuman ai is able to use google to find the answer. so TRUUUUUEEE

Please stop using these AI generated images. They are more distracting than usefull.

Why those cringe AI images bruh

Missing the obvious… RAG Engine - RAGE. Vroooooooomies…