A Practical Introduction to Large Language Models (LLMs)

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Күн бұрын

This is the 1st video in a series on using large language models (LLMs) in practice. I introduce LLMs and three levels of working with them.
▶️ Series Playlist: • Large Language Models ...
📰 Read more: towardsdatascience.com/a-prac...
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Intro - 0:00
What is an LLM? - 1:13
Zero-shot Learning - 3:36
How do LLMs work? - 5:44
3 Levels of Using LLMs - 7:52
Level 1: Prompt Engineering - 8:22
Level 2: Model Fine-tuning - 11:00
Level 3: Build your own - 13:13

Пікірлер: 63

@ShawhinTalebi Жыл бұрын

👉More on LLMs: kzfaq.info/sun/PLz-ep5RbHosU2hnz5ejezwaYpdMutMVB0

@ajalipio1 3 ай бұрын

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

@DRAI-ow1nq 18 күн бұрын

Thanks Shaw! I always look forward to your videos

@paulntalo1425 4 ай бұрын

Thanks for sharing such a play list

@IndyScriabin-dl8ot 2 ай бұрын

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

@DavidDayichibanNorae 3 ай бұрын

This is great content. I love it!

@happylearning1648 5 ай бұрын

Thank you for the clear explanation

@yahya5054 3 ай бұрын

thank you very much for this well explained video !

@enoack1 8 ай бұрын

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

@ShawhinTalebi 8 ай бұрын

Glad it was helpful!

@pmh312_ Жыл бұрын

This was great, looking forward to future videos.

@ShawhinTalebi Жыл бұрын

Thanks! 2nd video is up 😁 kzfaq.info/get/bejne/meCmicyTp5jQgnU.html

@HaneNaghshbandi 3 ай бұрын

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

@ShawhinTalebi 3 ай бұрын

Glad it was helpful!

@barclayiversen376 3 ай бұрын

This channel is going to become my new addiction

@ShawhinTalebi 3 ай бұрын

Hope its a healthy addiction XD

@emammadov 6 ай бұрын

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

@ShawhinTalebi 6 ай бұрын

Glad you liked it

@helrod6131 9 ай бұрын

I appreciate your simple explanation of a complex subject.

@ShawhinTalebi 9 ай бұрын

Thanks, I’m glad it made sense :)

@marcoaureliobalduinodesouz2602 3 ай бұрын

Very good video

@anneest Жыл бұрын

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 👍

@ShawhinTalebi Жыл бұрын

Thank you, I'm glad it was helpful!

@user-vv7om6uq5w 17 күн бұрын

Thanks!!!

@flimsandmediaproduction6350 6 ай бұрын

been struggling with the concept. your video indeed helped alot

@ShawhinTalebi 6 ай бұрын

Glad it helped!

@hoangng16 3 ай бұрын

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

@ShawhinTalebi 3 ай бұрын

I do a hands-on example for fine-tuning a model to respond to KZfaq comments here: kzfaq.info/get/bejne/jtaffqVk2tnRe5c.html Feel free to share any specific suggestions you have in mind :)

@lookup2423 7 ай бұрын

Very well explained video. Good Introduction

@ShawhinTalebi 7 ай бұрын

Thanks, glad you liked it!

@ifycadeau Жыл бұрын

Finally! Prompt engineering is so underrated!!🙌🏾

@ShawhinTalebi Жыл бұрын

It’s the lowest hanging fruit!

@user-nw9sc3ev2z 7 ай бұрын

super helpful thank you!

@ShawhinTalebi 7 ай бұрын

Glad it helped!

@King_Konglish Жыл бұрын

This is super useful, thanks!

@ShawhinTalebi Жыл бұрын

Glad it was helpful!

@arpitrawat1203 Жыл бұрын

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

@ShawhinTalebi Жыл бұрын

Happy to help! More use cases with code to come in future videos :)

@user-wr4yl7tx3w Жыл бұрын

This was really well explained.

@ShawhinTalebi Жыл бұрын

Thanks, glad it made sense!

@roastmaker1233 9 ай бұрын

Thanks for the video

@ShawhinTalebi 9 ай бұрын

Happy to help!

@ahmarhussain8720 Ай бұрын

very beginner friendly explanation

@greatgatsby6953 9 ай бұрын

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

@ShawhinTalebi 9 ай бұрын

Good to hear! Happy to answer any questions you might have. I’ve also got office hours: calendly.com/shawhintalebi/office-hours

@KumR 4 ай бұрын

Great Intro Shaw....from Shiv

@ShawhinTalebi 4 ай бұрын

Thanks Shiv!

@elpablitorodriguezharrera 7 ай бұрын

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)?

@ShawhinTalebi 7 ай бұрын

Glad it was clear and thanks for the suggestion! I'm planning 3 more videos for this series, and I'll definitely keep these in mind :)

@hardcoder-y6w 17 күн бұрын

@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?

@ShawhinTalebi 15 күн бұрын

Glad it was helpful! While I currently only doing trainings for orgs, I'm putting one together for individuals. I can keep you posted if you are interested. Feel free to email me here: www.shawhintalebi.com/contact

@hardcoder-y6w 15 күн бұрын

Excellent! @Shaw Talebi - Done! I will see you soon.Thanks :)

@amparoconsuelo9451 8 ай бұрын

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?

@ShawhinTalebi 7 ай бұрын

1) These are different technologies, however there will surely be interesting use cases combining the two. 2) While this depends on the details of the use case, LLMs can in principle learn from feedback (i.e. reinforcement learning) 3) I'm sure this is possible, however it's unclear whether it would yield in better results than existing approaches Thanks for all the interesting questions!