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 ...
VentureBeat

MiniMax-M1 is a new open source model with 1 MILLION TOKEN context and new, hyper efficient reinforcement learning

Chinese AI startup MiniMax, perhaps best known in the West for its hit realistic AI video model Hailuo, has released its latest large language model, MiniMax-M1 — and in great news for enterprises and ...
Nature

A hierarchical multi-agent reinforcement learning framework with high-level guidance from large language models

Multi-agent reinforcement learning (MARL) has achieved substantial progress in cooperative decision-making, but learning remains difficult in environments with sparse rewards, long decision horizons, ...