With the continual advancements being made in AI, solutions are rapidly changing to meet the needs of users. Microsoft Azure AI Service has several new capabilities to help customers increase productivity, efficiency and content safety for customers. These updates include:

Azure OpenAI Service Updates to Azure OpenAI Service, now in preview, will include enhancements like Azure AI Studio, which will better enable organizations to combine Azure OpenAI Service with their data; a Provisioned Throughput Model, which will offer dedicated/reserved capacity; and plugins that will simplify integrating external data sources and streamline the process of building and consuming APIs.

Azure AI Content Safety Azure AI Content Safety, a new Azure AI service, will empower businesses to create safer online environments and communities. Models are designed to detect hate, violent, sexual and self-harm content across languages in both images and text. The models assign a severity score to flagged content, indicating to human moderators what content requires urgent attention. As part of Microsoft’s commitment to building responsible AI systems, Azure AI Content Safety is being integrated across Microsoft products, including Azure OpenAI Service and Azure Machine Learning prompt flow. The models help detect and remove content from prompts and generation that don’t meet content management standards. By combining Azure AI Content Safety with other Azure AI tools for responsible AI, businesses can build, deploy and monitor AI systems that support fairness and mitigate harm. Azure AI Content Safety is now in preview, and billing for all Azure AI Content Safety usage begins June 1, 2023, and will be priced at $1.50 per 1K images, and $0.75 per 1K text records. Learn more about Azure AI Content Safety.

Azure Cognitive Search Vector search for Azure Cognitive Search, the retrieval system for new large language models (LLM) apps, is coming soon in preview. Vector search allows developers to easily store, index and search by concept in addition to keywords, using organizational data including text, images, audio, video and graphs. Developers will be able to build apps to generate personalized responses in natural language, deliver product recommendations, detect fraud, identify data patterns and more. ​Azure Cognitive Search offers pure vector search and hybrid retrieval – as well as a sophisticated re-ranking system powered by Bing in a single integrated solution. Sign up for the Vector search preview today.

Azure Cognitive Service for Language New capabilities, now in preview for Azure Cognitive Service for Language, will include the ability for developers to customize summarization, in addition to the entity recognition, text classification and conversational language understanding (CLU) features already announced, and are all powered by Azure OpenAI Service. These capabilities allow developers to interactively customize the language skills across their apps, leading to faster time-to-value for organizations looking to use large language models (LLMs). In addition, the integration of CLU within Power Virtual Agents simplifies the process of creating intelligent chatbots and virtual agents, as well as the availability of custom sentiment powered by pre-built models.

Coming soon to general availability is ready-to-use document and conversation summarization. This will allow customers to deploy use cases in production while backed by Azure’s enterprise-grade readiness, including Azure Service Level Agreements, data security and more.

Document Translation in Language Studio Document Translation in Language Studio, now generally available, enables developers to translate documents in batches. In addition, Power Automate Translator connector and Text Translator SDK for .Net, Python, Java and JS are now in preview and ACS Translator plugin for Azure OpenAI Service is in private preview.

The Power Automate Translator connector enables developers with easy-to-use workflow automation to translate text and documents stored across multiple clouds, on-premises or on local storage. The plugin will help Azure OpenAI Service users translate a source text between any of the more than 125 languages supported by Translator.

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