In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...

Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform ...

While the shortest distance between two points is a straight line, a straight-line attack on a large language model isn't always the most efficient — and least noisy — way to get the LLM to do bad ...

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.

New firm helps enterprises deploy open-source and private LLM systems with full data control, transparency, and production-grade ...

A critical LangChain AI vulnerability exposes millions of apps to theft and code injection, prompting urgent patching and ...

Researchers discovered a security flaw in Google's Gemini AI chatbot that could put the 2 billion Gmail users in danger of being victims of an indirect prompt injection attack, which could lead to ...

You’re investing too much to get the basics wrong. Here’s what architecture, infrastructure, and networking look like when ...

The company’s AI-builder approach with in-house AI innovation and bolt-on acquisitions will be key for its growth in the ...

Roles that barely existed a few years ago, such as large language model (LLM) specialists, AI product leads and data pipeline ...

Performance. Top-level APIs allow LLMs to achieve higher response speed and accuracy. They can be used for training purposes, as they empower LLMs to provide better replies in real-world situations.

AWS has announced the general availability of Amazon S3 Vectors, increasing per-index capacity forty-fold to 2 billion ...