?? AI Announcements at Build 2022 - My Personal Top 3

1. Azure OpenAI Service is now available in preview.

Approved customers can access different models from OpenAI, including the GPT-3 base series (Ada, Babbage, Curie and DaVinci), Codex series and embedding models, with the enterprise capabilities of Azure.

OpenAI Service helps customers enable new reasoning and comprehension capabilities for building cutting-edge apps for use cases such as writing assistance, code generation and making sense of unstructured data. With features like fine-tuning and built-in responsible AI, customers can also tailor the model to their specific needs to detect and mitigate harmful use.

2. The?Azure Machine Learning?responsible AI dashboard is now in preview.

The?Azure Machine Learning?responsible AI dashboard, now in preview, is a new feature within Azure Machine Learning to help developers and data scientists more easily implement responsible AI. The dashboard brings together multiple capabilities such as data explorer, fairness, model interpretability, error analysis and counterfactual and causal inference analysis, which help developers debug their models and make more informed, data-driven decisions. In addition, Azure Machine Learning now offers a responsible AI scorecard to summarize model performance and insights, helping technical and non-technical audiences understand the impact of applying responsible AI.

3. Azure AI teams up with Meta, AMD and Hugging Face.

Microsoft is committed to advancing AI so that every person and organization on the planet can achieve more. In addition to evolving AI through Microsoft research-driven AI breakthroughs that are implemented into Azure tools and services customers can use today, Microsoft also works with other organizations to help the global AI community evolve, expand and thrive. Today, Microsoft is announcing several key partnerships, including:

• Meta, which has selected Azure as a strategic cloud provider to help accelerate AI research and experimentation for developers. As part of the agreement, Meta will expand its use of Azure’s supercomputing power to accelerate AI research and development for its Meta AI group. Meta will utilize a dedicated Azure cluster of 5400 GPUs using the latest virtual machine (VM) series in Azure (NDm A100 v4 series, featuring NVIDIA A100 Tensor Core 80 GB GPUs) for some of its large-scale AI research workloads. In addition, Meta and Microsoft will collaborate to scale?PyTorch adoption on Azure?and accelerate developers’ journey from experimentation to production. In the coming months, Microsoft will build new PyTorch development accelerators to facilitate rapid implementation of PyTorch-based solutions on Azure. Microsoft will also continue providing?enterprise-grade support for PyTorch?to enable customers and partners to deploy PyTorch models in production on both cloud and edge.
• AMD, as Azure will be the first public cloud to deploy AMD’s flagship M200 GPU for large-scale AI training. Microsoft is working with PyTorch and AMD to optimize the performance and developer experience for customers running PyTorch on Azure, and to ensure that developers’ PyTorch projects run optimally on AMD hardware.
• Hugging Face, an open-source platform for data scientists and ML practitioners, will deepen its partnership with Microsoft and expand its Azure integration. The new Hugging Face Endpoints service, backed by Azure Machine Learning and available in Azure Marketplace, will help developers and data scientists more quickly and easily deploy thousands of custom or pretrained transformer models. Additionally, Hugging Face and Microsoft will bring Private Model Hub and the Expert Acceleration Program to Azure and enable consumption of Hugging Face’s APIs directly in Azure Machine Learning.

You can find an overview of AI session recordings and related blog posts below:

Read all AI related announcements here in the Build 2022 Book of News: