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 ...

RAG, AI Agents, and Agentic AI are three different things. Most developers are building the wrong one. Here is the clearest ...

Agentic AI is the big thing right now, with names like OpenClaw and NemoClaw filling column inches, telling you to use or to stay away. Agents can organize your computer or delete your inbox, and ...

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 ...

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 ...

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 ...

The upcoming ‘Apriel’ model will be able to create agents that make decisions about IT, human resources and customer-service functions. Nvidia and ServiceNow have created an AI model that can help ...

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 ...

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 ...

“Turn your enterprise data into production-ready LLM applications,” blares the LlamaIndex home page in 60 point type. OK, then. The subhead for that is “LlamaIndex is the leading data framework for ...