@osmanalenbey5427

This was one of the most thoughtfully structured lectures I’ve seen on LLMs. It doesn't just race to the cutting edge—it builds up from Bayesian models and classic n-gram statistics, through parameter scaling, prompting strategies, fine-tuning methods, and lands beautifully on current ideas like instruction tuning, RLHF, and AI agents.

I've been diving deep into LLMs myself recently—especially training VLMs where reasoning is needed for visual tasks. I’ve been exploring GRPO (Group Relative Policy Optimization) in those contexts. Also appreciated the honesty around limitations—hallucinations, jailbreaks, ambiguous contexts—all too real when aligning LMs with multimodal tasks.

Thank you for capturing both the evolution and the nuance of this field so clearly. Definitely rewatching and recommending this one!

And one small side note: I think the description accidentally credits the wrong speaker—unless Peter Grabowski is moonlighting as Doug Eck 😄

@Ethan_here230

Kindly never stop this series. Keep uploading more and more lectures on new exciting topics and cutting edge concepts and evolving niche.

@prithviprakash1110

I attended the lecture in person. Absolutely enjoyed it. Glad I had this incredible experience.

@sukanyasaha5458

Wow! The clarity in the explanation, answering question is mind blowing. Watching this at 7 AM first thing in the morning

@4ndyb4r

Excellent content, I'm listening to it in Spanish today. Thanks!!!

@PhoenixReflex

Amazing work and beautifully articulated details. Please continue the series.

@markcunningham4862

Peter Grabowski truly is incredible and while the content he delivered was epic, what got my attention away was just how fluid and natural his delivery was...Having seen five of his presentations, I'm just blown away every time...He's amazing!!

@alir8zana635

thank you so much for this lecture

@DhirajPatra

Thank you for very informative lecture.

@desmondaubery8446

This series is my goto resource on AI. Thank you so much for this incredible service. 🙏😊🙏

@JuanManuelHernandezMartine-p2g

Gracias! ❤

@gideonkofiamoappau8488

Please, is there any GitHub repository where the code for the ReACT paper can be found ?

@Superteastain

I thought the hallucination reference was interesting. The thing I find weird about hallucinations is how they seem like lies and not hallucinations. they seem like almost truths, like talking to someone who knows a little and is embarrassed to not know the answer to a question

@azharalibhutto1209

Great 👍👍👍

@Jake26572t

👋

@thomash9008

gif or jiff?