Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks for developers.

As AI reshapes industries and global conversations intensify, here's a simple guide to key AI terms including LLMs, generative AI, guardrails, algorithms, AI bias, hallucinations, prompts and tokens.

The way people discover brands is changing faster than most businesses have caught up with. Search queries that once sent ...

New benchmark shows top LLMs achieve only 29% pass rate on OpenTelemetry instrumentation, exposing the gap between ...

The convergence of cloud computing and generative AI marks a defining turning point for enterprise security. Global spending ...

As chatter around AI intensifies ahead of the mega summit that New Delhi is set to host, here is a straightforward guide to some frequently used terms making headlines, and what they mean.

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...

In the quest to get as much training data as possible, there was little effort available to vet the data to ensure that it was good.

CX software provider Genesys unveiled Genesys Cloud Agentic Virtual Agent, positioning it as the industry’s first agent built ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Some cybersecurity researchers say it’s too early to worry about AI-orchestrated cyberattacks. Others say it could already be ...

The industry needed a way to move faster and respond to business and regulatory demands with confidence. With Smarteeva ...