Time-slip in AI sepsis models may inflate results, risking under- or overtreatment

AI is already boosting positive outcomes in health care and holds promise for delivering many more. It is important, however, ...
Geeky Gadgets

Reinforcement Learning for LLMs in 2025

Imagine trying to teach a child how to solve a tricky math problem. You might start by showing them examples, guiding them step by step, and encouraging them to think critically about their approach.
NextBigFuture

Reinforcement Learning Does NOT Fundamentally Improve AI Models

Reinforcement Learning does NOT make the base model more intelligent and limits the world of the base model in exchange for early pass performances. Graphs show that after pass 1000 the reasoning ...
News-Medical.Net

Researchers find flaw in AI models for sepsis treatment

AI is already boosting positive outcomes in healthcare and holds promise for delivering many more. It is important, however, ...

'Human capital is...': Satya Nadella says AI success will hinge on ecosystems, not frontier models

Rather than relying on a single foundation model, he said companies should build “agentic systems” that retain and improve ...
EurekAlert!

Offline model-based reinforcement learning with causal structured world models

The architecture of FOCUS. Given offline data, FOCUS learns a $p$ value matrix by KCI test and then gets the causal structure by choosing a $p$ threshold. After ...

Adaptive ML and AT&T Expand AI Collaboration to Scale Specialized Models Across Enterprise Workflows

Adaptive ML, the leader in Reinforcement Learning Operations (RLOps), today announced the renewal and expansion of its work with AT&T. Following a year of successful production deployment, AT&T has ...
VentureBeat

Self-improving language models are becoming reality with MIT's updated SEAL technique

Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing a technique that allows large language models (LLMs) — like those ...