Archive
Tag: AI Models
Microsoft Adds Model Tuning to M365 Copilot to Build Domain-Specific AI
Microsoft is adding a new feature to its Microsoft 365 (M365) Copilot assistant that transforms it into a domain expert. Announced at Microsoft Build 2025, the feature is called Copilot Tuning and is a low-code service allowing developers to train models on an organization’s own data without needing the assistance of data scientists. Imagine a […]
Microsoft Brings Grok 3, Local AI, and Multi-Agent Tools to Azure AI Foundry
Microsoft’s platform for building and deploying AI apps and agents is getting an update. Announced at this year’s Build conference, Azure AI Foundry (née Azure AI Studio) has new tools to simplify agent development, automate model selection, enhance monitoring, and support on-device AI. It’s all aimed at helping companies scale their generative AI solutions with […]
Microsoft Edge Lets Developers Add AI to Web Apps Without the Cloud
Microsoft is upgrading its Edge browser with new AI capabilities. At this year’s Build conference, the company unveiled a set of AI APIs allowing developers to seamlessly integrate AI features into their web apps, powered by models built directly into the browser. This experimental API set includes methods for prompting and generating content. These are […]
AI Agents Are Coming to Windows—Here’s How Microsoft Is Making It Happen
Human-agent collaboration is moving beyond the cloud. It’s coming to the edge. At its 2025 Build conference, Microsoft unveiled the Windows AI Foundry, a development platform that will bring model building, fine-tuning, and local deployment capabilities to Windows 11. The company also announced native support for the Model Context Protocol (MCP), a framework that allows […]
Why ServiceNow Named Its Lightweight AI Models ‘Apriel’
When ServiceNow first released its Apriel family of small language models, I was curious about the origin of the name. I initially guessed it might be a twist on the word “April,” perhaps rooted in the Latin word aperire, meaning “to open.” But the company didn’t offer an official explanation at the time. So at […]
New Open-Source Tool Checks How Well AI Models Code for Accessibility
Is the AI model powering your favorite vibecoding app actually usable by everyone, or just a privileged few? A new open-source offering from the Global Accessibility Awareness Day (GAAD) Foundation and ServiceNow aims to help developers assess how effectively coding-focused large language models (LLMs) generate accessible code. Called the AI Model Accessibility Checker (AIMAC), it […]
ServiceNow and Nvidia Debut Apriel Nemotron 15B, an Open-Source Reasoning Model Built for Faster, Cheaper Agentic AI
ServiceNow and Nvidia have had a long-standing partnership building generative AI solutions for the enterprise. This week, at ServiceNow’s Knowledge customer conference, the two are introducing the latest fruits of their labor, a new large language model called Apriel Nemotron 15B with reasoning capabilities. The companies believe it performs as well as OpenAI’s o1-mini, Alibaba’s […]
Ai2 Unveils the Tiniest OLMo 2 Model, Built for Local and Efficient AI Use
Nonprofit AI lab Ai2 has released a new variation of its open-source language model. Previously, OLMo 2 was available in three sizes—7B, 13B, and 32B—but now there’s a 1B version, the smallest member of the model family. The company claims it outperforms Google’s Gemma 3 1B and Meta’s Llama 3.2 1B. OLMo 2 came onto […]
The Social Llama
IN THIS ISSUE: Meta hosts its first-ever event around its Llama model, launching a standalone app to take on Microsoft’s Copilot and ChatGPT. The company also plans to soon open its LLM up to developers via an API. But can Meta’s momentum match its ambition? The Prompt At Meta’s inaugural LlamaCon developer conference, the company […]
Microsoft’s New Phi-4 Variants Show Just How Far Small AI Can Go
Microsoft is doubling down on small language models with new Phi-4 variants that aim to prove a bold idea: small AI can think big. The new Phi-4-reasoning, Phi-4-reasoning-plus, and Phi-4-mini-reasoning models are optimized for complex tasks, such as math and coding, and outperform much larger models while running on devices with limited resources. While we […]