Tag: Phi

Open Codex CLI: Local AI Coding

Open Codex CLI is a local-first, open-source alternative to OpenAI's Codex, empowering developers with AI-assisted coding using locally run models for enhanced control and privacy.

Open Codex CLI: Local AI Coding

Microsoft's 1-Bit AI Model Runs Efficiently on CPUs

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 1-Bit AI Model Runs Efficiently on CPUs

Microsoft's BitNet: Revolutionizing AI with 1-Bit

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.

Microsoft's BitNet: Revolutionizing AI with 1-Bit

Microsoft BitNet: CPU AI, M2-like, GPU-Free

Microsoft's BitNet runs on CPUs like Apple M2, GPU-free, doubled speed, lightweight, and open-source. It's revolutionizing resource-efficient AI, enabling deployment on devices with limited resources, fostering collaboration and innovation.

Microsoft BitNet: CPU AI, M2-like, GPU-Free

Microsoft's Hyper-Efficient AI Model on CPUs

Microsoft introduces BitNet b1.58 2B4T, a hyper-efficient AI model designed to run on CPUs, including Apple's M2, democratizing AI across diverse hardware platforms with speed and reduced memory usage.

Microsoft's Hyper-Efficient AI Model on CPUs

CWRU Boosts AI with New AI Agents

CWRU enhances its AI capabilities by adding advanced AI agents, including general-purpose LLMs like Mistral Large and specialized tools, to offer diverse resources for students, faculty, and researchers, ensuring data security and privacy while expanding the university's AI ecosystem.

CWRU Boosts AI with New AI Agents

AI Streamlines JAL Workflows: Fujitsu & Headwaters

Fujitsu and Headwaters used AI to revolutionize JAL cabin crew handover reports, achieving substantial time savings and enhanced efficiency via offline generative AI.

AI Streamlines JAL Workflows: Fujitsu & Headwaters

AI Revolutionizes Cabin Crew Workflows at Japan Airlines

Fujitsu and Headwaters' on-device generative AI streamlines handover reports for Japan Airlines cabin crew, enhancing efficiency and passenger service.

AI Revolutionizes Cabin Crew Workflows at Japan Airlines

Microsoft's AI Strategy: The Power of Following

Microsoft, led by Mustafa Suleyman, adopts a 'fast follower' AI strategy, leveraging partners like OpenAI while developing its own Phi models. This cost-effective approach focuses on optimization and ecosystem building for long-term market integration, aiming for eventual self-sufficiency.

Microsoft's AI Strategy: The Power of Following

JAL Boosts Cabin Crew Efficiency with On-Device AI

Japan Airlines introduces the JAL-AI Report app, using Microsoft's on-device Phi-4 SLM. This tool helps cabin crew quickly document inflight events, reducing administrative time by up to two-thirds. The AI generates and translates reports offline, freeing attendants for passenger care. It's part of JAL's wider strategy to integrate AI across operations.

JAL Boosts Cabin Crew Efficiency with On-Device AI