Phi-4 is Microsoft's newest small language model, designed to excel in complex reasoning tasks. With 14 billion parameters, it utilizes high-quality datasets to enhance its performance, particularly in mathematics. Its availability on Azure AI Foundry and soon on Hugging Face makes it accessible for developers and researchers.

Phi-4 is Microsoft's latest small language model designed for complex reasoning tasks, featuring 14 billion parameters. It utilizes high-quality synthetic datasets and organic data, making it suitable for applications in various fields, especially mathematics. Available on Azure AI Foundry and soon on Hugging Face, Phi-4 sets a new standard in AI capabilities for developers and researchers.

Phi-4 is Microsoft's latest small language model, designed to excel in complex reasoning tasks, particularly in mathematics. With 14 billion parameters and a focus on high-quality data, it sets a new standard in the capabilities of AI models. Available on Azure AI Foundry and soon on Hugging Face, Phi-4 is tailored for AI developers and researchers looking for efficient AI solutions.

Phi-4 is Microsoft's latest small language model designed for complex reasoning tasks, featuring 14 billion parameters. It excels in mathematical problem-solving and is set to be available on multiple platforms, including Azure AI Foundry and Hugging Face. With a focus on high-quality data integration and innovative post-training techniques, Phi-4 pushes the boundaries of AI capabilities in resource-limited environments.

Phi-4 is Microsoft's latest small language model designed for complex reasoning tasks, boasting 14 billion parameters and excelling in mathematics-related challenges. It combines high-quality synthetic datasets and innovative post-training techniques, making it a powerful tool for AI developers and researchers. Available on Azure AI Foundry and soon on Hugging Face, Phi-4 aims to enhance AI capabilities in resource-constrained environments.

Phi-4 is Microsoft's latest small language model designed for complex reasoning tasks, particularly excelling in mathematical problem-solving. With 14 billion parameters, it utilizes high-quality datasets and innovative training techniques, making it a significant advancement in AI capabilities.

Google CEO Sundar Pichai emphasized the company's commitment to advancing artificial intelligence and maintaining its leadership position in the industry. Responding to Microsoft's AI competition remarks, Pichai outlined significant upcoming changes to Google's search engine and the company's advancements in AI technology.

Microsoft has addressed concerns regarding its "Connected Experience" feature in Office software, emphasizing that it will not use customer data for AI training without explicit consent. The company aims to clarify its data privacy policies amidst rising user apprehensions about data usage in AI development.

Microsoft has addressed concerns regarding its 'Connected Experience' feature in Office software, emphasizing that it will never use user data for AI training without explicit consent. The company aims to clarify its data usage policies amidst growing scrutiny over privacy and data security.

Microsoft has responded to user concerns regarding its data usage policies, particularly in relation to its AI training practices. The company asserts that it will never use customer data without explicit consent. This statement comes amidst rising discussions around the 'Connected Experience' feature in Microsoft Office, which has raised privacy questions among users.