Deals and comparisons dominate AI nudges, shaping behavior and influencing decisions across the customer journey.

Indirect prompt injection lets attackers bypass LLM supervisor agents by hiding malicious instructions in profile fields and contextual data. Learn how this attack works and how to defend against it.

Explore how LLM proxies secure AI models by controlling prompts, traffic, and outputs across production environments and ...

Yet another fun way to control my smart home hub ...

ZeeKnows proudly announces a major milestone for its founder and lead strategist, Zeeshan Yaseen. Recently recognized as a ...

From cost and performance specs to advanced capabilities and quirks, answers to these questions will help you determine the ...

A new suite of tools and services address need for high-quality domain-specific datasets and human feedback pipelines ...

A Caltech Lab at PrismML Just Fit an 8 Billion Parameter AI Model Into 1.15 GB. Announcing a Breakthrough in AI Compression: ...

Stop letting AI pick your passwords. They follow predictable patterns instead of being truly random, making them easy for ...

What is the long-term effect of using LLM chatbots for daily tasks? According to a study (DOI link) by Steven D Shaw and ...

Gartner predicts explainable AI (XAI) will drive LLM observability investments to 50% of GenAI deployments by 2028, a ...

Simaia announced its public launch as an AI marketing team for B2B small and medium enterprises (SMEs) and startups ...