2025-05-11

Many language models are more likely to generate incorrect information when users request concise answers, according to a new benchmark study.
The article Confident user prompts make LLMs more likely to hallucin [...]
2025-10-19
As more companies quickly begin using gen AI, it’s important to avoid a big mistake that could impact its effectiveness: Proper onboarding. Companies spend time and money training new human workers [...]
2025-11-03
The buzzed-about but still stealthy New York City startup Augmented Intelligence Inc (AUI), which seeks to go beyond the popular "transformer" architecture used by most of today's LLMs [...]
2025-10-17
One of the coolest things about generative AI models — both large language models (LLMs) and diffusion-based image generators — is that they are "non-deterministic." That is, despite the [...]
2025-11-23
Large language models (LLMs) have astounded the world with their capabilities, yet they remain plagued by unpredictability and hallucinations – confidently outputting incorrect information. In high- [...]
2025-10-16
Microsoft is fundamentally reimagining how people interact with their computers, announcing Thursday a sweeping transformation of Windows 11 that brings voice-activated AI assistants, autonomous softw [...]
2025-10-16
A new framework from Stanford University and SambaNova addresses a critical challenge in building robust AI agents: context engineering. Called Agentic Context Engineering (ACE), the framework automat [...]
2025-10-02
Presented by HubSpotINBOUND, HubSpot's annual conference for marketing and sales professionals, took place in San Francisco this year, with three days of insights and events across marketing, sal [...]
2025-11-21
Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after trai [...]