How Small Models Learn to Think Like Giants On-policy distillation has emerged as a powerful way to transfer knowledge between models. BUT, how do they work? 🤔 In this video, let's explore knowledge distillation from first principles. youtu.be/YH0YXgDWZXA
Jia-Bin Huang
Researcher with public evidence across AI research, Compute & infrastructure.
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Why AI Doesn't Actually Read Words LLMs don’t read words the way we do! This video traces how LLMs represent text, from words and subword tokens like BPE to byte-level models such as ByT5, CANINE, MegaByte, BLT, and H-Net. Enjoy! https://t.co/VQKT1LHkAU https://t.co/iAf4OrpW3s
Speculative Decoding is the coolest trick for speeding up LLM inference! Check out the video and learn why rejection sampling preserves quality, and how methods such as draft trees, Medusa, MTP, EAGLE, and DFlash further accelerate LLM inference. youtu.be/l8gWQlrVOKQ
Two API Calls Exposed AI's Hidden Reasoning Such a cool attack exploits a vulnerability in frontier models. Just replay encrypted reasoning traces through weaker models and recover the hidden reasoning! 🤯 Many fun reasoning examples! New video: youtu.be/P1v1-2CCKD0
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