The additions let data teams ask progressive, context‑aware questions in natural language while enabling developers to deploy governed analytics agents across applications via unified API endpoints.
Boards are pushing for AI, but Nintex CTO Niranjan Vijayaragavan warns that without a foundation of traditional auto-mation ...
By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges ...
Attackers have shifted from classic exploits to abusing large language models and APIs. Menlo Security's Ramin Farassat and ...
Businesses in regulated industries are increasingly deploying private large language models to protect sensitive data, maintain compliance, and ...
New research outlines how attackers bypass safeguards and why AI security must be treated as a system-wide problem.
The rapid emergence of Large Language Models (LLMs) and generative AI is reshaping how people and organizations access, synthesize, and apply knowledge.
How large is a large language model? Think about it this way. In the center of San Francisco there’s a hill called Twin Peaks from which you can view nearly the entire city. Picture all of it—every ...
Traditional soaps and synthetic cleansers can contain harsh ingredients that disrupt your skin’s natural pH, leading to dryness, irritation, and acne. Mild soap is a gentle, emollient cleanser that ...
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