Accelerating AI innovation
Today, AI is bound by limitations of infrastructure, effectiveness of machine learning models, and ease of development. AI at Scale expands beyond these limitations to enable rapid acceleration of AI innovation.
Demystifying AI at Scale
Breakthroughs in machine learning techniques, model training tools, and supercomputing resources are enabling a new class of AI models that remove common obstacles organizations face when it comes to innovating with AI. Understand the vision, the technology behind it, and what it can mean for the future of your business.
Microsoft Turing model tops SuperGLUE and GLUE leaderboards
T-NLRv5 surpasses human performance and other models, first achieving human parity on MNLI and RTE on the GLUE benchmark, the last two tasks which human parity had not yet met.
OpenAI language models on Azure
Azure OpenAI Service adds powerful GPT-3 language models along with security, reliability, compliance, data privacy and enterprise-grade capabilities that are built into Microsoft Azure.
Turing Bletchley: A Universal Image Language Representation model
Turing Bletchley is a 2.5-billion parameter Universal Image Language Representation model (T-UILR) that can perform image-language tasks in 94 languages.
530 billion parameters enable the most powerful language model
Megatron-Turing Natural Language Generation model (MT-NLG) is the largest and the most powerful monolithic transformer language model trained to date.
Build an AI-powered organization
Everyone has a role to play in AI transformation. Learn about fueling innovation at all levels, evaluating AI investments, and establishing technical processes for AI throughout your organization.Explore AI Business School