HuggingFace Fundamentals with LLM's such as TInyLlama and Mistral 7B

[@ukaszrozewicz7488]

The best video I've watched on KZbin about LLM so far. You explain complex topics in an accessible language, clearly and understandably. You are doing a very good job. I'm eagerly waiting for the next videos :)

[@ThomazMartinez]

same here

[@chrishayuk]

Wow, thanks!, this one actually took a long time to get right, glad you liked it

[@kenchang3456]

Excellent explanation. Although I don't have a use case to fine-tune a model currently, I presume I will eventually it'll be great to have what you've shared in my back pocket. Thanks a bunch.

[@chrishayuk]

Awesome, glad it was useful

[@Jaypatel512]

Amazing way to get people comfortable with the model architecture. Thank you so much for sharing your knowledge.

[@chrishayuk]

Glad it was useful

[@msssouza2]

Thanks, for another great video Chris. I've been through some LLM courses on Udemy but your channel is helping me to clear many doubts I have on the whole thing. I'm glad I found your channel. It's really the best on this subject. Congratulations. Marcelo.

[@chrishayuk]

Very kind, my rule is to try and always go one level below. It means that my vids are never short, glad the content is useful

[@wadejohnson4542]

For the very first time, I finally get it, thanks to you. Thank you for your service to the community.

[@atifsaeedkhan9207]

Thanks being so so in details. That was really a refresher for me. Glad someone like you is doing such a good work.

[@chrishayuk]

thank you, very much appreciate that

[@janstrunk]

Great video! Looking forward to your next videos…

[@chrishayuk]

Yeah, next ones in series will be fun, glad you’re enjoying it

[@tekperson]

Great video. Just the right amount of detail. Thanks.

[@chrishayuk]

Glad it was helpful!

[@BipinRimal314]

Looking really forward to the next video.

[@chrishayuk]

next one dropped

[@ilyanemihin6029]

Thank you! This video brings light into the black box of LLM magic)

[@chrishayuk]

more to come, the next set of videos reveal a bunch more

[@RejectAnticipatoryObedience]

Insanely valuable video. Thank you!

[@chrishayuk]

Glad it’s useful

[@BiranchiNarayanNayak]

Excellent tutorial to get started with LLMs.

[@chrishayuk]

Glad you liked it!

[@narenkrishnanGenius]

very well explained and useful

[@chrishayuk]

So glad to hear that, thank you

[@john6268]

How does the tokenizer decode sub-word embeddings? Specifically, how do you determine which sequence is concatenated into a word vs. standing on its own? As shown, the answer would be decoded with spaces between the embeddings, which wouldn't make "Lovelace" into a word.

[@chrishayuk]

Certain tokens will have spaces others won’t so _lace would be a different token from lace. I have a deep dive of the tiktoken tokenizer where I spend a lot of time on this. I am planning to do a building a tokenizer vid soon as part of this series

[@chrishayuk]

how the tokenizer for gpt-4 (tiktoken) works and why it can't reverse strings kzbin.info/www/bejne/hH7SeXuJjMtkg9E

[@john6268]

@@chrishayuk Thanks, I'll check out the other video and looking forward to the next one.

[@javaneze]

great video - many thanks!

[@chrishayuk]

Glad you liked it!

[@nguyenhuuanhtuan5360]

Aways awesome content ❤

[@chrishayuk]

Super glad it’s useful, thank you

[@prashantkowshik5637]

Thanks a lot Chris.

[@chrishayuk]

glad it was useful

[@MannyBernabe]

great video. Thx!

[@chrishayuk]

thank you

[@huiwencheng4585]

Bro, just turn-on the Big Thank so I can donate you

[@chrishayuk]

lol, not gonna happen but appreciate the gesture and glad you like the videos

[@AncientSlugThrower]

Great video.

[@chrishayuk]

thank you

[@tec-earning8672]

Great job sir, one video for me sir how to build llama APIs i want use my train own model now i want using in my website ..

[@chrishayuk]

That’s where we are are working up to, but you can check out my existing fine tuning llama-2 video