We explore the challenges developers face with multi-agent orchestration and the strategies they use to overcome them.

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 ...

Treat the LLM as a brain, not a source of facts. A practical guide to multi-agent LLM systems: prompts, orchestration, RAG, ...

Maker, meme-r, and unabashed geek, Joe has been writing about technology since starting his career in 2018 at KnowTechie. He's covered everything from Apple to apps and crowdfunding and loves getting ...

Multiple developers are trying to create an “autonomous” system by stringing together multiple instances of OpenAI’s large language model (LLM) GPT that can do a number of things on its own, such as ...

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 ...

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 ...

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 ...

LLM agent security depends on your data, not only the model. Concentric AI’s Madhu Shashanka explains the three layers of ...