A Practical Introduction to Large Language Models (LLMs) 

👉More on LLMs: ru-vid.com/group/PLz-ep5RbHosU2hnz5ejezwaYpdMutMVB0

Thanks for sharing such a play list

I love the clarity and simplicity of your videos. I'm a new fan and you got a new sub! 🥰

This is great content. I love it!

Thanks Shaw! I always look forward to your videos

Excellent material you covered herein as an executive summary and TL; DR of LLMs. Thank you very much.

This was great, looking forward to future videos.

Thank you for the clear explanation

Very good high level explanations that make the subject(s) very accessible. Thanks!

thank you very much for this well explained video !

Very good video

Thanks for sharing this, very good and condensed information (I got the link to your YT channel from your article in towardsdatascience). Looking forward to seeing future videos with examples, cheers 👍

Finally I found a video explaining such a complex concept in a simple way. Thanks a lot. It was so good!

I appreciate your simple explanation of a complex subject.

this is amazing series of videos. Well done for explaining this to us in such an easy-to-understand way

Very well explained video. Good Introduction

Thanks!!!

This is super useful, thanks!

This channel is going to become my new addiction

super helpful thank you!

Thanks for the video. Would love to hear about different use cases with implementation.

been struggling with the concept. your video indeed helped alot

This was really well explained.

Finally! Prompt engineering is so underrated!!🙌🏾

Thanks for the video

It would be great if you could make a series about fine-tuning LLM/s for a specific area of tasks. The reasons are: 1) The number of people requiring their own LLM/s is very small; if they need their own models, they already have them. 2) I have seen many tutorials about fine-tuning, but they only touch the surface layer. Plus, preparing data in the form of questions and answers takes so much effort that it is not practical. Thank you

very beginner friendly explanation

This was useful -even though I did not understand everything!

Great Intro Shaw....from Shiv

Hi Shaw, Super clear explanation, I was wondering if I can request an explanation on how exactly use LangChain "effectively"? The benefits and limitations, or are there other options to "combined" every state-of-the-art of each models are there in one place? (Like an open source text gen (mixtral 8x7b), image gen(fooocus), audio and video gen in one place of a chatbot interface)?

Another response from you please. 1) How is LLM related to robotics? Is LLM used in or a part of robotics? 2) If LLM is used in robotics, can LLM be fine-tuned every time the robot's task is modified or changed? 3) Can an app made with the help of LLM be used instead to control, program and modify the movements of robot?

@Shaw Talebi - Thanks for creating such amazing video. Indeed it helped so much. I got a question here, do you provide AI or LLM training? Perhaps, boot camp?

Can I earn by creating LLMs or fine tuning

Your slides are very good could you also share them please

From where we all viewers get sildes of lecture

The constant cutting of the audio makes this very uncomfortable. Great content otherwise.