Latest Blog Articles
Task-specific models are designed to excel at specific use cases, offering highly specialized solutions that can be more efficient and cost-effective than general-purpose models. These models are opt...
Jan 07, 2025
2 MIN READ
Today we are introducing Phi-4, our 14B parameter state-of-the-art small language model (SLM) that excels at complex reasoning in areas such as math, in addition to conventional language processing. ...
Dec 13, 2024
by Vishal Yadav, Nikhil Pandey
Introduction
Large Language Models (LLMs) have transformed the landscape of natural language processing (NLP) with their ability to understand and gene...
Dec 06, 2024
Explore the latest updates to the model benchmarks experience in Azure AI Foundry portal. These updates include: direct integration with the Azure AI model catalog, new performance and cost metrics, ...
Nov 19, 2024
AI reports are designed to help organizations improve cross-functional observability, collaboration, and governance when developing, deploying, and operating generative AI applications and fine-tuned...
Nov 19, 2024
We’re pleased to share new security and IT governance capabilities in Azure AI Foundry that can help organizations build and scale GenAI solutions that are secure by default, including a new manageme...
Nov 19, 2024
Driven by the need for user privacy, real-time performance, platform flexibility, and cost efficiency, edge AI are coming into the spotlight and transforming the AI landscape. Today at Ignite, we are...
Nov 19, 2024
Now, Azure AI Foundry and Azure Monitor seamlessly integrate to enable ongoing, comprehensive monitoring of your GenAI application's performance from various perspectives, including token usage, oper...
Nov 19, 2024
If not designed carefully, GenAI applications can produce outputs that have errors, lack grounding in verifiable data, or are simply irrelevant or incoherent, resulting in poor customer experiences a...
Nov 19, 2024
We are excited to announce the public preview of tracing in Azure AI Foundry, a powerful capability designed to enhance monitoring and debugging capabilities for your machine learning models and appl...
Nov 19, 2024
