Communications of the ACMOpinion

The Biggest Advance in AI Since the LLM

That’s right, the biggest advance since the LLM is neurosymbolic. AlphaFold, AlphaEvolve, AlphaProof, and AlphaGeometry are ...
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 ...
Diginomica

Want better LLM results? Then it's time for AI evaluation tools - learning from Galileo's RAG and agent metrics

A consistent media flood of sensational hallucinations from the big AI chatbots. Widespread fear of job loss, especially due to lack of proper communication from leadership - and relentless overhyping ...

Learning Generative AI is not the first step of learning Generative AI

A misconception is currently thriving in the industry that one can become a Generative AI expert without learning ...
Deep Learning with Yacine on MSN

Distributed RL training for LLM explained part 1

An introduction to distributed reinforcement learning for large language models covering core concepts, training setup, and ...
eWeek

Deep Learning vs Generative AI: Understanding the Key Differences

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
eWeek

How to Train an LLM: A Simple, User-Friendly Guide

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...

JINGDONG Industrials Upgrades JoyIndustrial LLM: From Digital Tools to Intelligent Industry Experts

JINGDONG Industrials upgrades JoyIndustrial LLM into an intelligent industry expert with multimodal reasoning, explainable outputs, and ...