VentureBeat

This new framework lets LLM agents learn from experience, no fine-tuning required

A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...
Forbes

SLM Or LLM Agents? The Trade-Offs, The Risks And The Rewards

The AI industry is obsessed with scale—bigger models, more parameters, higher costs—the assumption being that more always equals better. Today, small language models (SLM) are turning that assumption ...
VentureBeat

Beyond math and coding: New RL framework helps train LLM agents for complex, real-world tasks

Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks ...
Harvard Medical School

Regulating the Agency of LLM-based Agents

Chief AI Scientist Josh Joseph and BKC Research Coordinator Seán Boddy address the risks that misalignment and loss of control pose to increasingly complex LLM-based agents. Their paper, available ...
SiliconANGLE

Oracle’s AI Agent Studio gets enterprise controls, LLM flexibility and deterministic workflows

Oracle Corp. is expanding the scope of its AI Agent Studio for Fusion Applications platform for building, testing and deploying artificial intelligence agents in one of a series of announcements at a ...

LLM-As-A-Judge: What To Expect From Using AI To Evaluate AI

LLM-as-a-judge is exactly what it sounds like: using one language model to evaluate the outputs of another. Your first ...
Geeky Gadgets

Using LangGraph to create multi-agent LLM coding AI frameworks

LangGraph has been used to create a multi-agent large language model (LLM) coding framework. This framework is designed to automate various software development tasks, including coding, testing, and ...