Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...
Infosecurity spoke to several experts to explore what CISOs should do to contain the viral AI agent tool’s security vulnerabilities ...
How LinkedIn replaced five feed retrieval systems with one LLM model — and what engineers building recommendation pipelines can learn from the redesign.
As Microsoft announced, the Python Environments Extension for Visual Studio Code is generally available after a one-year preview phase. It is intended to make the workflow for managing Python ...
Researchers at Nvidia have developed a technique that can reduce the memory costs of large language model reasoning by up to eight times. Their technique, called dynamic memory sparsification (DMS), ...
First set out in a scientific paper last September, Pathway’s post-transformer architecture, BDH (Dragon hatchling), gives LLMs native reasoning powers with intrinsic memory mechanisms that support ...
Your weekly cybersecurity roundup covering the latest threats, exploits, vulnerabilities, and security news you need to know.
Why send your data to the cloud when your PC can do it better?
CX software provider Genesys unveiled Genesys Cloud Agentic Virtual Agent, positioning it as the industry’s first agent built on LAMs. Enterprise customer experience softwares have increasingly leaned ...
The maturing AI landscape increases the likelihood that multiple models, and agents, will need to work alongside each other. And this type of "swarm" orchestration introduces a host of additional ...