Microsoft's Phi-4-reasoning-plus is an open-weight language model designed for advanced reasoning tasks. It uses fine-tuning and reinforcement learning to excel in math, science, coding, and logic.
The Model Context Protocol streamlines LLM interaction with data. Azure integration fosters secure AI deployments. It's a key for AI agent development.
Explore Microsoft's Model Context Protocol Lab for Copilot Studio. Experiment with MCP integration for AI-powered assistance and automation.
Microsoft's BitNet b1.58 2B4T, a groundbreaking 1-bit AI model, offers unparalleled efficiency on CPUs. This MIT-licensed model democratizes AI, surpassing benchmarks and enabling edge computing. Challenges remain, but its potential for sustainable and accessible AI is immense.
A Microsoft developer's journey from his son's rare disease diagnosis to creating AI-powered tools for faster, more accurate healthcare solutions.
Microsoft has enhanced its Phi Silica SLM, enabling it to 'see' and adding multimodal functionality, driving innovative AI features like Recall and transforming productivity and accessibility capabilities.
An AI expert's perspective on the Model Context Protocol (MCP), Microsoft's adoption, and opportunities for partners. Understand how MCP standardizes AI's interaction with data, improving efficiency and innovation across various platforms.
Microsoft's BitNet b1.58 2B4T, a 1-bit LLM, achieves efficient GenAI on CPUs. It offers comparable performance to full-precision models with reduced memory and energy consumption.
Microsoft's BitNet b1.58 2B4T is a groundbreaking 1-bit AI model, freely available and designed for efficient CPU operation, enhancing accessibility and performance without powerful GPUs.
Microsoft's BitNet b1.58 2B4T, a 1-bit AI model, boasts 2 billion parameters and operates efficiently on standard CPUs. This innovation promises wider AI deployment due to its accessibility and resource efficiency.
