Researchers introduce BATS and Budget Tracker, two new methods that help agents prioritize high-value actions, cutting API costs by over 30% while boosting accuracy.

During his sabbatical, Will McGugan, maker of Rich and Textual( frameworks for making Textual User Interfaces (TUI)), put his ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Having spent years building and scaling artificial intelligence and machine language (AI/ML) solutions at AWS Bedrock and now at Intuit, I've witnessed firsthand the incredible advancements in large ...

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 ...

ZDNET key takeaways Major Agentic AI players are backing AAIF.Open source standards enable cross-LLM agents.AAIF currently uses MCP, Goose, and AGENTS, with more to come. At Open Source Summit Japan ...

During the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) this week in Vienna, Austria, researchers from Bloomberg’s AI Engineering group in London are showcasing ...

The acquisition comes less than a week after Nvidia inked a $20 billion deal to license the technology of Groq Inc., a ...

Performance. Top-level APIs allow LLMs to achieve higher response speed and accuracy. They can be used for training purposes, as they empower LLMs to provide better replies in real-world situations.

A common use case in generative AI is developing an agent, which is a system users interact with in plain language to accomplish a given task. Creating AI agents can require a lot of heavy lifting, ...

The reason I called out the absurdity of AI agent hype was not because I don't see the potential. But I've been surprised by the lack of candid discussions that successful projects need. Responsible ...