VentureBeat

DeepMind’s GenRM improves LLM accuracy by having models verify their own outputs

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Large language models (LLMs) are prone to ...
NextBigFuture

LLM Scale and Solving of Programming as a Path to Superintelligence

Yann LeCun’s argues that there are limitations of chain-of-thought (CoT) prompting and large language model (LLM) reasoning. LeCun argues that these fundamental limitations will require an entirely ...
VentureBeat

New technique helps LLMs rein in CoT lengths, optimizing reasoning without exploding compute costs

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Reasoning through chain-of-thought (CoT) — ...
Forbes

Here’s How Big LLMs Teach Smaller AI Models Via Leveraging Knowledge Distillation

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the rising tendency of employing ...
Computer Weekly

SLM series - Domino Data Lab: Distillation brings LLM power to SLMs

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by Jarrod Vawdrey in his ...
Computer Weekly

LLM series - Snorkel AI: Distillation refines LLMs into smaller (richer) droplets of data science

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by Braden Hancock in his ...

What is Distillation of AI Models: Explained in short

Whether it's ChatGPT since the past couple of years or DeepSeek more recently, the field of artificial intelligence (AI) has ...