Скачать или смотреть AI in .NET: Overview of Technologies in 2025

Board: https://miro.com/app/board/uXjVI6RxRK...

We'll take a look at the key #AI technologies available to #dotnet developers and how they can be used to bring AI into your apps. You'll learn about cloud-based options for hosting models, as well as local alternatives—perfect if you're concerned about data privacy, want to cut costs, or need AI features to work offline. We’ll explore technologies that make it easy to build and integrate AI agents—whether you're using C# or working with no-code tools. You’ll see what’s possible today and check out real-world usage scenarios.

Timestamps:

00:25 - Intro
00:41 - #OpenAI
00:49 - OpenAI (Models)
02:41 - OpenAI (Assistants / Reponses API)
04:25 - OpenAI (Fine-Tuning)
05:56 - OpenAI (Evaluation)
06:17 - #Azure
06:33 - Azure AI Foundry (Models)
06:53 - Azure AI Foundry (Agents)
07:35 - Azure AI Foundry (Prompt Flow)
08:23 - Azure AI Foundry (Content Safety)
08:49 - Azure AI Foundry (Evaluation)
08:57 - Azure AI Foundry (Content Understanding)
09:56 - Azure AI Search
10:28 - Azure Language
10:51 - Copilot Studio
11:40 - LLaMA.cpp and Ollama
12:32 - ML.NET (ONNX Runtime)
13:33 - ML.NET (AutoML and Model Builder)
13:52 - Windows AI Foundry
14:23 - Semantic Kernel
15:21 - #AutoGen and #LongChain
15:41 - #mcp (MCP.NET)
16:38 - UI Components (DevExpress, Telerik, Syncfusion)
17:48 - Conclusion