Categories
News

How to build custom Copilots with Azure AI Studio

How to build custom Copilots with Azure AI Studio

Azure AI Studio offers users a comprehensive platform for developing and deploying generative AI applications. Providing a single-platform approach to building and deploying AI custom Copilots. As well as  offering a number of different AI models, including those from Azure OpenAI, Meta, NVIDIA, and Microsoft Research. But it’s not just about the variety; it’s the seamless integration these models offer that truly enhances your development experience.

The platform allows the integration of your own data through OneLake in Microsoft Fabric. This feature ensures that your models are grounded in real-world data, enhancing their relevance and accuracy. Azure AI Studio is not just about starting a project; it’s about nurturing it through every stage.

“Accelerate decision-making and enhance efficiency across your enterprise using powerful AI tools and machine learning models. Explore the pricing options for access to our new Azure AI Studio. During preview, there’s no additional charge for using Azure AI Studio. Azure AI services, Azure Machine Learning, and other Azure resources used inside of Azure AI Studio will be billed at their existing rates. Pricing is subject to change when Azure AI Studio is generally available” explains Microsoft.

From prompt engineering to multi-modal applications and rigorous quality and safety testing, this platform supports the full lifecycle of AI application development. You’ll find the Playground feature particularly intriguing for prompt experimentation, alongside a prompt flow tool for custom orchestration.

In an era where ethical considerations are paramount, Azure AI Studio prioritizes responsible AI practices. The platform includes built-in evaluation tools to assess AI applications before they go into production. Moreover, content classifications ensure the safety and appropriateness of responses.

Build custom Copilots with Azure

Here are some other articles you may find of interest on the subject of building AI applications :

The platform’s support for multi-modality allows the incorporation of diverse functionalities like language, vision, speech, and search. This versatility opens up a world of possibilities in application development, catering to a wide array of use cases.

Advanced User Features

  • Azure AI Studio provides a single platform for building and deploying AI copilots.
  • It offers access to a wide range of AI models from Azure OpenAI, Meta, NVIDIA, and Microsoft Research, as well as open-source options.
  • Developers can integrate their own data using OneLake in Microsoft Fabric for model grounding.
  • The platform supports full lifecycle development, including prompt engineering, multi-modal applications, and quality and safety testing.
  • Azure AI Studio features a Playground for prompt experimentation and a prompt flow tool for custom orchestration.
  • It includes built-in evaluation tools to assess AI applications before production.
  • Responsible AI content classifications are available to ensure the safety of responses.
  • Azure AI Studio supports multi-modality, allowing the incorporation of language, vision, speech, and search functionalities.
  • The platform provides options for fine-tuning large language models (LLMs) for advanced users with data science expertise.
  • Users can access additional resources through QuickStart guides.

For those with a deeper understanding of data science, Azure AI Studio doesn’t disappoint. It offers options for fine-tuning large language models (LLMs), granting advanced users more control over their applications.

Accessible and Resourceful

Getting started with Azure AI Studio is a breeze. Accessible at ai.azure.com, the platform also provides QuickStart guides to help you hit the ground running. Whether you’re building a copilot app using Azure AI Studio or exploring its advanced capabilities, these resources are invaluable.

Azure OpenAI Service Power your apps with large-scale AI models. Learn More
Azure AI Search Enterprise scale search for app development. Learn More
Azure AI Content Safety Use AI to monitor text and image content for safety. Learn More
Azure AI Document Intelligence Accelerate information extraction from documents. Learn More
Azure AI Speech Transcribe, translate and generate spoken audio. Learn More
Azure AI Language Identify, analyze and summarize text with natural language processing. Learn More
Azure AI Translator Real-time machine translation for documents and text. Learn More
Azure AI Vision Analyze, extract and categorize information from images. Learn More

Additional Insights

Microsoft’s integration of copilots in its popular workloads, such as Bing, Microsoft 365, and GitHub, underscores the platform’s versatility. Azure AI Studio not only supports the creation of dynamic applications incorporating images, text, speech, and videos but also offers comprehensive control over the orchestration of these elements.

The ability to filter out harmful content through Azure AI Content Classifications and the provision to fine-tune LLMs for customized behavior further enhance the platform’s utility. Azure AI Studio empowers you to build, test, deploy, and monitor generative AI apps at scale, ensuring a robust and efficient development process.

Embark on Your AI Journey

As you embark on your journey with Azure AI Studio, remember that you are not just developing applications; you are shaping the future of AI technology. The platform’s blend of accessibility, versatility, and responsibility makes it an ideal choice for both budding and seasoned developers. With Azure AI Studio, the possibilities are limitless.

Filed Under: Technology News, Top News





Latest timeswonderful Deals

Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, timeswonderful may earn an affiliate commission. Learn about our Disclosure Policy.

Categories
News

New Microsoft Azure virtual machines optimized for AI with AMD

New Microsoft Azure virtual machines optimized for AI with AMD Instinct MI300X Accelerators

During the recent Microsoft Ignite event, a significant collaboration between AMD and Microsoft was highlighted. AMD showcased its array of products that are redefining the landscape of cloud computing and AI. The spotlight was on the upcoming AMD Instinct MI300X accelerator, which, along with AMD EPYC CPUs and AMD Ryzen CPUs with AI engines, is revolutionizing services in cloud and generative AI.

Microsoft Azure

Vamsi Boppana, Senior Vice President of AI at AMD, explains the company’s vision to “foster AI everywhere.” This encompasses a broad spectrum, from the cloud to enterprise and endpoint devices, all powered by AMD’s CPUs, GPUs, accelerators, and AI engines. This collaboration with Microsoft and a growing ecosystem of partners is accelerating innovation and bringing the benefits of AI to a diverse portfolio of computing engines.

A key development in this partnership is the integration of the AMD Instinct MI300X into Microsoft Azure’s new Azure ND MI300x v5 Virtual Machine series. This marks Azure as the first cloud service to adopt this advanced accelerator. The inclusion of the AMD Instinct MI300X offers customers enhanced choices in efficiency and scalability for AI workloads.

AMD Instinct MI300X

The 4th Gen AMD EPYC processors are now powering a new generation of VMs on Microsoft Azure. These VMs cater to various needs, including general-purpose, memory-intensive, and compute-optimized categories. The new VMs are expected to deliver up to 20% better performance for general and memory-intensive VMs and double the CPU performance for compute-optimized VMs, compared to the previous generation.

AMD Instinct MI300X

Other articles we have written that you may find of interest on the subject of AMD :

In addition to these developments, the Azure NGads V620 series, now in general availability, is a new addition to the Azure N-series family of GPU-accelerated VMs. These VMs, powered by AMD Radeon PRO V620 GPUs and 3rd Gen AMD EPYC CPUs, are designed for high-demand workloads, enhancing experiences in gaming, VDI, and rendering.

AMD Ryzen AI

Another significant advancement is AMD’s Ryzen AI, the first dedicated AI accelerator available on an x86 processor. With over 50 systems now featuring Ryzen 7000 Series processors with Ryzen AI, this technology is making a substantial impact on the market. AMD and Microsoft are working together to bring expanding AI workloads and generative AI experiences to consumers through these technologies. Looking ahead, AMD’s Advancing AI event on December 6 at 10 am PT promises to offer deeper insights into AMD’s portfolio of AI products.

What do these developments mean for consumers and businesses? Enhanced capabilities in these technologies imply more powerful, efficient, and intelligent computing experiences, both in cloud services and personal computing. For businesses reliant on cloud services and AI-driven applications, these advancements offer transformative opportunities. Enterprises can tackle more complex tasks, process larger datasets, and leverage AI in innovative ways. As we witness these advancements, the collaboration between AMD and Microsoft is shaping the future of computing and AI. These technologies are not just enhancing products; they are paving the way for the next wave of digital transformation.

Source & Image Credit :  AMD

Filed Under: Technology News, Top News





Latest timeswonderful Deals

Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, timeswonderful may earn an affiliate commission. Learn about our Disclosure Policy.