How Google’s 'internal RL' could unlock long-horizon AI agents

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...
JD Supra

How To Deploy LLMs Part 1: Where Do Your Models Live?

In the early days of first-generation AI models, legal industry technology providers did not frequently encounter the question, “Where do my models live?” The assumption has always been that the ...
VentureBeat

Forget data labeling: Tencent’s R-Zero shows how LLMs can train themselves

A new training framework developed by researchers at Tencent AI Lab and Washington University in St. Louis enables large language models (LLMs) to improve themselves without requiring any ...
Geeky Gadgets

Easily Fine-Tune AI Models by Training Them with Your Own Data Using Encord

Training AI or large language models (LLMs) with your own data—whether for personal use or a business chatbot—often feels like navigating a maze: complex, time-consuming, and resource-intensive. If ...
Ars Technica

How a big shift in training LLMs led to a capability explosion

The more I read about the inner workings of the LLM AIs the more I fear that at some point the complexity will far exceed what anyone can understand what it is doing or its limitations. So it will be ...
Deep Learning with Yacine on MSNOpinion

How to train LLMs with long context

Learn how to train large language models (LLMs) effectively with long context inputs. Techniques, examples, and tips included ...
SDxCentral

How AWS uses genAI and LLMs to transform its internal security — and help its customers

Amazon Web Services (AWS) is harnessing the power of custom large language models (LLMs) to improve its internal application security processes, while using generative artificial intelligence (genAI) ...