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 ...

New Observability 3.0 capabilities include autonomous AI SRE, anomaly detection, and LLM observability, enabling engineering teams to move from reactive incident response to proactive autonomous ...

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 ...

With innovation happening at lightning speed, we are on the brink of a new era. One that promises to shift the paradigm of productivity and business reinvention to reimagine how we work, shop and ...

The emergence of Large Language Models (LLMs) demonstrates their potential to encapsulate the logic and patterns inherent in human behavior simulation by leveraging extensive web data pre-training.

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 ...