llm

  1. NFL Week 3 AI Predictions: Copilot Picks, Limits, and Editorial Transparency

    Microsoft’s Copilot produced a full Week 3 slate of NFL score predictions for USA TODAY — a tidy, repeatable experiment that reveals as much about modern large language models as it does about football forecasting. Background / Overview USA TODAY ran a simple, repeatable workflow: prompt...
  2. Waitaki District Council's AI rollout: human-first governance for public service

    Waitaki District Council’s cautious, staff-first rollout of generative AI shows how a small public body can harness large language models for practical gains—while keeping human judgment, privacy safeguards and governance firmly in the driver’s seat. The council’s chief digital officer, Teresa...
  3. FreeBSD AI policy: cautious stance on AI-generated code and governance

    FreeBSD’s core team has decided to take a cautious, deliberate path on generative AI: investigate and codify limits rather than open the gates to LLM‑authored commits, and in doing so it has joined a short but growing list of major open‑source projects that are treating AI‑generated code as a...
  4. Hotels at the AI Crossroads: Guarding Guest Data Without Stifling Innovation

    Hotels face a crossroads: artificial intelligence promises smarter personalization and leaner operations, but when guest names, preferences or booking histories are casually copy-pasted into public chatbots the consequences can be legal, financial and reputational — as Amsterdam-based middleware...
  5. Microsoft Tests MAI-1-Preview: In-House LLM for Copilot and AI Independence

    Microsoft has begun public testing of MAI‑1‑preview, a new in‑house large language model from Microsoft AI (MAI) that the company says will be trialed inside Copilot and evaluated publicly on LMArena — a move that signals an accelerated push to reduce reliance on OpenAI while building...
  6. ND H200 v5 on Azure ML: Memory-First AI Training with 8x H200 GPUs

    Microsoft’s rollout of ND H200 v5 instances for Azure Machine Learning is a substantial, full‑stack upgrade that pairs Microsoft’s cloud orchestration with NVIDIA’s newest H200 Tensor Core GPUs to give teams a rare combination of massive on‑GPU memory, dense compute, and high‑bandwidth...
  7. Smarsh: AI-Driven Compliance for Regulated Industries & Inc 5000 Leader

    Smarsh’s latest string of recognitions underscores a rare combination of scale, market focus, and aggressive productization of AI for regulated industries — but the headline numbers circulating in some briefs require careful parsing before they’re repeated as fact. Background / Overview Smarsh...
  8. Future-Proof Your SEO with Prosperity Media’s Generative Engine Optimisation (GEO)

    With Prosperity Media’s announcement of its Generative Engine Optimisation (GEO) service, the conversation around future-proofing SEO strategies has taken a dramatic turn. The agency’s latest initiative stands as a direct response to the rapidly shifting dynamics in how digital information is...
  9. Singapore's HTX Expands Sovereign AI with Multi-Year Mistral and Microsoft Partnership

    Singapore’s Home Team Science and Technology Agency (HTX) is moving aggressively to expand its sovereign AI capabilities, signing a visionary multi-year contract with Mistral AI and Microsoft. With this move, the government agency aims to fast-track the development, deployment, and operational...
  10. Ollama: Run Local Large Language Models on Windows 11 for Privacy and Speed

    The artificial intelligence era is transforming how we interact with information, create content, and even code. Traditionally, most users experience large language models (LLMs) through powerful cloud-based tools like OpenAI’s ChatGPT or Microsoft’s Copilot. While these cloud services provide...
  11. Anthropic's Claude Gets Major Upgrades with Deep Integration and Transparent Research

    The generative artificial intelligence (AI) landscape continues to accelerate at a dizzying pace, with Anthropic, creator of the well-regarded Claude chatbot, making significant new strides to contend with heavyweights like Google Gemini and Microsoft Copilot. Anthropic’s recent announcement...
  12. IBM Unveils Granite 3.3: A New Era of Enterprise AI with Speech & Multilingual Power

    IBM, never one to shy away from commanding the fast-evolving AI stage, has thrown down a formidable new gauntlet in the form of Granite 3.3—an iteration that, by all standards, reminds us that the arms race for the cloud’s smartest brain is very much alive and caffeinated. Less than a fiscal...
  13. Installing Gemma 3 LLM on Windows 11: A Complete Guide

    Gemma 3 LLM brings cutting-edge Gemini-powered capabilities to your Windows 11 PC, letting you experiment with everything from light conversational tasks to more sophisticated reasoning applications. Whether you’re a developer, researcher, or just a tech enthusiast, this guide will walk you...
  14. How Schema Markup Enhances AI Understanding in Microsoft's Ecosystem

    Microsoft’s foray into artificial intelligence has taken yet another intriguing turn. In a recent industry discussion, Microsoft’s own leadership confirmed that schema markup—the structured data embedded within web pages—plays a vital role in helping its large language models (LLMs), such as...
  15. Microsoft Expands LLM Options in 365 Copilot: A New Era in AI Strategy

    Microsoft, a name synonymous with innovation and technology integration, is making an intriguing move—expanding the range of large language models (LLMs) available in its 365 Copilot tool. While the company’s deep-rooted partnership with OpenAI has driven much of its AI advancements, this...