#Azure OpenAI Service

This tool offers translation, text refinement, and summarization features, supporting over 55 languages on Windows, macOS, Linux, and browsers. It integrates with OpenAI and Azure OpenAI, providing text-to-speech, screenshot translation, and customization options. The project has evolved into a versatile desktop application, enhancing communication efficiency. It supports easy and secure installation across all platforms.

This guide is tailored for .NET developers interested in Azure OpenAI Service. It explores AI integration beyond basic API calls by using the Semantic Kernel framework to manage AI tasks. With seven chapters, developers will gain insights into Azure OpenAI, combining C#, cloud-native principles, and AI concepts to create smart applications. Continuous updates reflect the latest in OpenAI developments, offering a practical resource for comprehending and managing AI directives effectively.

This guide offers a comprehensive overview of building and deploying ChatGPT applications with Azure, featuring step-by-step instructions on configuring chat UI, authenticating with Azure Active Directory, and logging data via Azure Log Analytics and Cosmos DB. Essential prerequisites for both local and Azure deployments are covered, along with detailed setup for Azure OpenAI Service and Active Directory applications. Leverage the optimized development environment supported by GitHub Codespaces to seamlessly integrate with Azure's powerful infrastructure.

ChatGptNet is a versatile library for integrating ChatGPT with .NET, supporting both OpenAI and Azure. It allows for easy configuration, handling of dynamic API keys, and offers streaming responses, enhancing conversational applications.

This project provides methods for building ChatGPT-like interactions with enterprise data by utilizing Azure OpenAI Service models (gpt-35-turbo, gpt3). It integrates with vector stores like Pinecone and Redis while enhancing data retrieval via Azure cognitive search. It supports data engagement from initial input to advanced RAG techniques and offers regular updates for features like chat streaming, QnA, and admin functionalities. The project continuously improves user interaction capabilities, including SQL NLP custom prompts and evaluations.

Discover Azure OpenAI Service to develop advanced AI solutions with robust language models. Engage in prompt engineering and content creation through hands-on workshops. Develop AI applications via practical projects, such as natural language queries and custom datasets. Targeted at power users, software engineers, and data scientists, this workshop provides clear, step-by-step guidance and real-world scenarios. Contribute to the open-source community with strong support from Microsoft.