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This article describes about the implementation of creating engaging live avatars using Azure Speech Services. Also you will be able to learn and build the capabilities of Text to Speech Live Avatars and it use cases.

Develop a robust content safety application using Python SDK for text moderation. This involves leveraging the SDK's functionalities to analyze and filter text content, ensuring compliance with predefined safety standards.
This article walks you through the process of creating a complete end-to-end solution using Pinecone, OpenAI and Llama-Index.
At the end of the article readers will able to understand and implement the usage of Content safety studio with moderating image contents in real time scenarios.
This article describes about the usage of analyzing text moderation with different sample datasets like Safe Content, Violent content with misspelling, multiple risk categories in one sentence and Multiple languages in one sentence.
In this article you will discover the magic behind language technology! Explore key concepts like the Transformer and T5 models, making language processing easy. Dive into our Databricks demo to see these ideas in action, turning theory into real-world solutions for efficient data summarization.
Learn how to use Microsoft Semantic Kernel in .NET to integrate generative AI services, organize prompts as functions and plugins, and analyze generated content sentiment.
Learn how to create an HR policy chatbot with Power Virtual Agent, generative answers, and Azure OpenAI by uploading a leave-policy document.
Microsoft Copilot, driven by powerful AI, promises to transform how we work in Word, Teams, and Excel. Discover the innovative features and impact of this dynamic AI assistant.
Learn how to deploy and use Azure OpenAI Codex in Azure AI Studio to generate code, SQL queries, unit tests, and explanations from prompts.
Everything on Generative AI, not only its articles: the Generative AI page →
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