This is part of a larger series on the new infrastructure of the era of AI, highlighting emerging technology and trends in large-scale compute. This month, we’re sharing the 2024 edition of the State of AI Infrastructure report to help businesses harness the power of AI now. The era of AI is upon us. You’ve …
New infrastructure for the era of AI: Emerging technology and trends in 2024 Read More »
As a young girl growing up, the tech world seemed like a distant reality, predominantly occupied by men. It wasn’t until my older sister pursued a degree in informatics in college that I realized the potential for women in technology. This revelation was not just about inspiring young girls like me but about fostering an …
Microsoft Azure AI celebrates Women’s History Month through our customers Read More »
Amazon Lex provides advanced conversational artificial intelligence (AI) capabilities to enable self-service support for your organization’s contact center. With Amazon Lex, you can implement an omnichannel strategy where customers engage via phone, websites, and messaging platforms. The bots can answer FAQs, provide self-service experiences, or triage customer requests before transferring to a human agent. Amazon Lex integrates …
Today, customers of all industries—whether it’s financial services, healthcare and life sciences, travel and hospitality, media and entertainment, telecommunications, software as a service (SaaS), and even proprietary model providers—are using large language models (LLMs) to build applications like question and answering (QnA) chatbots, search engines, and knowledge bases. These generative AI applications are not only …
Large language models (LLMs) are generally trained on large publicly available datasets that are domain agnostic. For example, Meta’s Llama models are trained on datasets such as CommonCrawl, C4, Wikipedia, and ArXiv. These datasets encompass a broad range of topics and domains. Although the resulting models yield amazingly good results for general tasks, such as …
Efficient continual pre-training LLMs for financial domains Read More »
In the rapidly evolving landscape of generative AI, business leaders are trying to strike the right balance between innovation and risk management. Prompt injection attacks have emerged as a significant challenge, where malicious actors try to manipulate an AI system into doing something outside its intended purpose, such as producing harmful content or exfiltrating confidential …
Learn about the nonprofits joining our newest accelerator focused on generative AI.
We’re sharing a few insights from a survey with nonprofits about how they’re using generative AI.
Microsoft Azure has delivered industry-leading results for AI inference workloads among cloud service providers in the most recent MLPerf Inference results published publicly by MLCommons. The Azure results were achieved using the new NC H100 v5 series virtual machines (VMs) powered by NVIDIA H100 NVL Tensor Core GPUs and reinforced the commitment from Azure to designing AI …
Microsoft Azure delivers game-changing performance for generative AI Inference Read More »
In software engineering, there is a direct correlation between team performance and building robust, stable applications. The data community aims to adopt the rigorous engineering principles commonly used in software development into their own practices, which includes systematic approaches to design, development, testing, and maintenance. This requires carefully combining applications and metrics to provide complete …
Achieve DevOps maturity with BMC AMI zAdviser Enterprise and Amazon Bedrock Read More »
