I recently tested Gemma 4-31B locally and I was blown away with the intelligence/size ratio of this model. These papers show how they achieved such distillation capabilities.[R]

Reddit - Machine Learning 1 min read

About this article

The secret sauce here is that the student model does not just try to guess the next token in a sentence, which is how most AI is trained. Instead, the teacher model shares its entire "thought process" for every single word. It gives the student a detailed probability distribution, which is rather counterintuitive if you want to build something smaller! This gives the student much "richer" information at every step and allows it to learn way more efficiently than it could on its own. Because o...

You've been blocked by network security.To continue, log in to your Reddit account or use your developer tokenIf you think you've been blocked by mistake, file a ticket below and we'll look into it.Log in File a ticket

Originally published on April 27, 2026. Curated by AI News.

Related Articles

Llms

Associative memory system for LLMs that learns during inference [P]

I've been working on MDA (Modular Dynamic Architecture), an online associative memory system for LLMs. Here's what I learned building it....

Reddit - Machine Learning · 1 min ·
Machine Learning

A comedian’s strategy for poisoning AI training data

Apparently the best defense against AI copying your voice is strawberry mango forklift supersize fries. submitted by /u/bekircagricelik [...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

Bias in training data on display in weird way

So i was working on this Tabletop roleplaying game project and for my own amusement I told two different video generating ai models to ge...

Reddit - Artificial Intelligence · 1 min ·
Llms

Things I got wrong building a confidence evaluator for local LLMs [D]

I've been building **Autodidact**, a local-first AI agent framework. The central piece is a **confidence evaluator** - something that dec...

Reddit - Machine Learning · 1 min ·
More in Machine Learning: This Week Guide Trending

No comments

No comments yet. Be the first to comment!

Stay updated with AI News

Get the latest news, tools, and insights delivered to your inbox.

Daily or weekly digest • Unsubscribe anytime