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docs/ai/index.yml
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Jordan Matthiesen
Updating AI quickstarts to reflect new sample separation of OpenAI and Azure OpenAI (#41620)
30 июл 2024, 18:21
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30 июл 2024, 18:21
1e73521
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### YamlMime:Landing title: AI for .NET developers summary: Learn to use AI with .NET. Browse sample code, tutorials, quickstarts, conceptual articles, and more. metadata: title: AI for .NET Developers description: Samples, tutorials, and education for using AI with .NET ms.topic: hub-page ms.service: dotnet ms.date: 05/13/2024 author: alexwolfmsft ms.author: alexwolf # linkListType: architecture | concept | deploy | download | get-started | how-to-guide | tutorial | overview | quickstart | reference | sample | tutorial | video | whats-new landingContent: # Cards and links should be based on top customer tasks or top subjects # Start card title with a verb # Card - title: Get started linkLists: - linkListType: get-started links: - text: Develop .NET applications url: get-started/dotnet-ai-overview.md - text: Learning resources and samples url: azure-ai-for-dotnet-developers.md - text: Build an Azure AI chat app with .NET url: quickstarts/get-started-openai.md - text: Summarize text using an Azure OpenAI chat app url: quickstarts/quickstart-openai-summarize-text.md - text: Generate images using Azure AI with .NET url: quickstarts/quickstart-openai-generate-images.md # Card - title: Essential concepts linkLists: - linkListType: concept links: - text: How generative AI and LLMs work url: conceptual/how-genai-and-llms-work.md - text: Understand tokens url: conceptual/understanding-tokens.md - text: Preserve semantic meaning with embeddings url: conceptual/embeddings.md - text: Semantic search with vector databases url: conceptual/vector-databases.md - text: Prompt engineering url: conceptual/prompt-engineering-dotnet.md # Card (Optional; Remove if not applicable.) - title: Common tasks linkLists: - linkListType: how-to-guide links: - text: Authenticate App Service to Azure OpenAI url: how-to/app-service-aoai-auth.md - text: Authenticate App Service to a vector database url: how-to/app-service-db-auth.md - text: Use Redis with the Semantic Kernel SDK url: how-to/use-redis-for-memory.md - text: Use custom and local AI models with the Semantic Kernel SDK url: how-to/work-with-local-models.md - text: Work with content filtering url: how-to/work-with-local-models.md # Card (Optional; Remove if not applicable.) - title: Tutorials linkLists: - linkListType: tutorial links: - text: Scale Azure OpenAI with Azure Container Apps url: get-started-app-chat-scaling-with-azure-container-apps.md - text: .NET enterprise chat sample using RAG url: get-started-app-chat-template.md - text: Implement RAG using vector search url: tutorials/tutorial-ai-vector-search.md # Card (Optional; Remove if not applicable.) - title: Training linkLists: - linkListType: tutorial links: - text: Fundamentals of Azure OpenAI Service url: /training/modules/explore-azure-openai - text: Generate conversations Azure OpenAI completions url: /training/modules/open-ai-dotnet-text-completions - text: .NET enterprise chat sample using RAG url: get-started-app-chat-template.md - text: Develop AI agents using Azure OpenAI url: /training/paths/develop-ai-agents-azure-open-ai-semantic-kernel-sdk