Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

EUDIW/EBW providers must not require bundling with any specific LLM/agent vendor. LLM providers may integrate, but cannot be mandatory intermediaries for wallet use. Issuers must support binary/signed ...

Forbes contributors publish independent expert analyses and insights. Aytekin Tank is the founder and CEO of Jotform. AI agents, in case you haven’t noticed, are everywhere. Every week, I see new ...

Varun is a product management and AI leader, shaping the future of tech with strategic vision, AI platforms and agentic-AI experiences. One-off benchmarks rarely predict business outcomes. AI evals ...

Marketing hype is calling everything an agent, but mislabeling automations or souped-up chatbots as agents is a governance failure waiting to happen. If you were around for the first big wave of cloud ...

Researchers at the University of Illinois Urbana-Champaign and Google Cloud AI Research have developed a framework that enables large language model (LLM) agents to organize their experiences into a ...

With agentic AI emerging as the next big shift in technology, ANNA Money is proud to announce that it has successfully proven its ability to work directly with Large Language Model (LLM) agents to ...

A new orchestration approach, called Orchestral, is betting that enterprises and researchers want a more integrated way to ...

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, ...

Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In ...