Your Video Insights, Promptly Extracted: Azure AI Video Indexer's Preview of Prompt-Ready API
Have you ever watched an online course and wished you could ask questions on the entire course, or have a comprehensive summary of a video? This can all now be achieved with Azure AI Video Indexer and an LLM (Large Language Model) – powering each other. LLMs are powerful language models that can capture the essence of text and allow natural language question-answering and much more. In Azure AI Video Indexer, we understand videos – video content is more than just words, and a single shot can contain a wealth of insights that are critical for its understanding. Coupling these two powerful tools can lead to great results in video understanding, and downstream tasks in natural language. Our new API extracts and processes all the multi-modality insights of a video into prompt-ready format, that can be easily used with LLMs.Announcing the Public Preview of Integrated Vectorization in Azure AI Search
Announcing the Public Preview of Integrated Vectorization in Azure AI Search. Discover the game-changing feature designed to accelerate the vectorization development process, reduce maintenance tasks, and seamlessly integrate vectors into your applications.Uncover the Future: Microsoft Autonomous AI Agents analyzing SAP Data Insights
Microsoft TaskWeaver is a framework that lets developers build and manage tasks across different platforms and applications. Frameworks such as Langchain, Semantic Kernel, Transformers Agent, Agents, AutoGen and JARVIS, which use LLMs for task-oriented conversations, are crucial in this transformation. They allow easy, natural language interactions with AI systems, making complex data analytics and domain-specific tasks more available. However, the real challenge and opportunity are in improving these frameworks to overcome current limitations, especially in specialized areas like SAP and data analytics. This involves adding domain-specific knowledge into GenAI models, improving their ability to process and analyze industry-specific data and workflows. There are many examples of how TaskWeaver can handle different tasks effectively. For example, developers can build smart agents that communicate with users fluently and helpfully, improving user satisfaction through clever conversation. TaskWeaver's skill to understand user needs, control plugins, and run code safely makes it a very useful tool for various applications, from financial prediction to data exploration.
Microsoft Ignite 2023 Announcements for Azure AI Video Indexer
We are excited to share the latest updates that we have added to Azure AI Video Indexer (VI), the video analysis solution that helps you to extract insights from your video and audio files, based on AIs. Here are some of the highlights: Edge version of Azure VI, enabled by Arc: You can use Azure VI on your own edge on premise environment, without sending your video data to the cloud. This will ensure you adhere to local regulation and privacy constrains or optimize your hardware use, while still enjoying the same functionalities that Azure VI offers on the cloud. It the first hybrid Video AI managed solution in Azure. Bring-your-own AI feature: You can use models from Hugging Face, Azure Florence, or any other AI models and connect them to VI insights. This will allow you to customize and enhance your video analysis with your own models, and to benefit from a single joint experience. Enrich your video metadata and video search experience: You can now add custom tags and free text as video metadata for any specific video in your account. This will help you to annotate your videos with any information that is relevant to your business. You can also search for videos based on the custom tags and free text that you have added to them. Features improving the efficiency of customized people model (subjected to limited access features program) All features were delivered as preview features.Join Microsoft experts for our Make Azure AI Real livestream series
Are you a developer who wants to learn how to use Microsoft AI tools and services, such as Azure AI Cognitive Search, Azure OpenAI Service, and more? Do you want to get insights into the latest AI trends and best practices from Microsoft AI experts? If you answered yes to any of these questions, then you should join Microsoft Reactor’s Make Azure AI Real livestream series kicking off today! We’re thrilled to bring you a collection of AI livestreams that are focused on in-depth AI technical content from experts at Microsoft where you will discover how to make AI real for your projects and goals and have the opportunity to ask questions directly to experts. Register now https://aka.ms/MAIR/RSVPBuilding Real-Time, Intelligent AI Copilots with Confluent Cloud, Azure OpenAI & Azure Data Services
Real-time application scenarios such as airline booking systems often provide suboptimal user experiences, with customers having to navigate complex systems and rules to perform simple tasks. In this blog post, we will explain how to build intelligent agents on top of Confluent, Azure data services and Azure Open AI to deliver real-time insights and help customers conduct business transactions.
