Browsing: agents

Recursive Language Models aim to break the usual trade off between context length, accuracy and cost in large language models. Instead of forcing a model to…

Meta has acquired an AI startup called Manus — known for its custom research and website-building agents — in a deal valued at more than $2…

At CEATEC 2025, Hitachi presented a connected vision for the future of industrial operations. Rather than showcasing isolated technologies, the company demonstrated how AI agents, metaverse-based…

More machine learning systems now rely on AI agents, which makes careful safety evaluation essential. With more and more vulnerabilities coming to the fray, it’s nigh…

NVIDIA AI research team released NitroGen, an open vision action foundation model for generalist gaming agents that learns to play commercial games directly from pixels and…

We have entered the time of multi-agent artificial intelligence. However, there is a very important issue: in what way can remote AI agents produce rich and…

Agent creation has become easier than ever but have you ever thought – how can we make them more powerful than they already are? I recently…

This context limit naturally limits the size of a codebase a LLM can process at one time, and if you feed the AI model lots of…

AWS Professional Services set out to help organizations accelerate their cloud adoption with expert guidance and proven methodologies. Today, we’re at a pivotal moment in consulting.…

Cerebras has released MiniMax-M2-REAP-162B-A10B, a compressed Sparse Mixture-of-Experts (SMoE) Causal Language Model derived from MiniMax-M2, using the new Router weighted Expert Activation Pruning (REAP) method. The…