Why Everyone is Freaking Out About RAG

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What is RAG (Retrieval Augmented Generation) & why do you need to know about it as a developer? With the dawn of LLMs upon us, RAG is here to drastically scale their usability. In this video, I am going to break down everything you need to know about it.

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00:00 | Overview
00:30 | Current Gen AI Problems
01:50 | What is RAG?
04:21 | Free ChatGPT Guide
04:59 | RAG Architecture
05:57 | Benefits & Advantages
06:50 | Concerns & Considerations

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I have been learning from u since my second yr at college..now i am in my last sem currently doing an internship as jr prompt engineer...again i am here to learn from u..can't thank u enough❤

cha

Thanks again for the video, Tim. This is a great topic that addresses the elephant in the room about LLMs... their out of date nature as soon as they're done training. Video suggestion (not that you don't have enough already), a tutorial on a local LLM setup, such as using Ollama and Mistral, then point it at a local database, such as a Wikipedia mini-download or other document, and use Langchain to automate some questions. I've been having a lot of fun with setting that up. Others might find it useful and fun. Anyway, thanks again!

vektracaslermd

Back in my bachelor program, I hated lecturers pestering me of giving sources of my statements in my papers...as if I was not allow to think of my own.
Now, it's funny how we are hating on LLMs for not providing sources of their answers.

caty

1. to what point can you reduce the pre-acquired data such that the new data can still be understood?
2. how many pieces of "data" we need to put together in order to call it "logic"?

I'm sure this doesn't have to be accurate to make a working POC, just throwing my thoughts out there.

anasouardini

Your videos are always informative! Thank You!!

Afran

Gpt4 is up to march 2023 now. ;- )
RAG with finetuning are the keys to the future IMO!

Thanks for the content! You helped me learn pygame and gave me the real desire to keep building and start putting things out there.
Truly appreciated! 🙂

hacktivatenation

I would LOVE to see courses on Operating System Programming and Assembly Language on AlgoExpert!!!

Aceptron

Somehow I always learn the most from your videos! Thanks for the excellent explanation

Jacksonvja

How is this different from using Langchain?

idontevenwanttomakea

For the programming expert program do you offer tips for linkdin and how to land a job?

wavyybased

As I know, langchain already has something similar

drexon

So we have the data set which is in the vector form with us but how is the process of sending the vectorised data works and how does it interact with the LLM it can only work with natural language right ?

dhrumil

I use a commercial C++ compiler and I haven't updated in over 10 years. The responses I get from chat GPT is pretty good for what I need and what I have and some cases it's uses features in the C++ language that My compiler doesn't support.
So I have to tell it a times what type of language I need and downgrade the language

colinmaharaj

Great stuff as always, Tim. PS what's the background track at 6:23 ?

polakpuckstopper

I guess RAG can be used for downstream tasks, otherwise it goes against the whole point of AGI, we. must be able to train models or agents that can use their knowledge base and be able to reason without seeing any downstream test data.

jamesmashiyane