Скачать или смотреть Semantic Kernel Architecture, Agents, and .NET 8:The Blueprint for Enterprise AI Orchestration in C#

This video provides an insightful guide into mastering Microsoft’s Semantic Kernel (SK) and its robust integration with the .NET 8 runtime. SK is an open-source, lightweight SDK that functions as an orchestration layer, seamlessly integrating Large Language Models (LLMs) into conventional programming environments like C#.

This video provides an insightful guide into mastering Microsoft’s Semantic Kernel (SK) and its robust integration with the .NET 8 runtime. SK is an open-source, lightweight SDK that functions as an orchestration layer, seamlessly integrating Large Language Models (LLMs) into conventional programming environments like C#
.
Key Concepts Covered:
• Core Architecture: Understand the Kernel, which serves as the central orchestrator and Dependency Injection (DI) container for managing all AI services and plugins
. SK is fundamentally model-agnostic, supporting connections to Azure OpenAI, OpenAI, Ollama, and local inference servers like LM Studio
.
• AI Agents and Functionality: Learn how to build sophisticated AI agents, which are software entities designed to perform tasks autonomously by processing information and taking actions
. Agents are augmented with Plugins, which encapsulate existing deterministic APIs and business logic (Native or Semantic Functions) to extend the LLM's capabilities
.
• Intelligent Planning: Explore how SK enables planning by leveraging the native function calling feature of modern LLMs
. This mechanism creates an automatic feedback loop where the AI can iteratively call functions, check results, and decide the next step to solve complex user tasks
.
• Agent Memory and RAG: Discover how Semantic Kernel supports Retrieval Augmented Generation (RAG) by integrating with various vector stores, such as Azure AI Search, SQL Server, and Oracle Database
. This capability is crucial for grounding LLM responses in proprietary, up-to-date enterprise data
.
• .NET 8 Synergy: See why SK is highly optimized for .NET 8, which delivers substantial improvements in performance and efficiency critical for AI workloads
. The framework’s alignment with established .NET DI patterns ensures solutions are maintainable and testable
.
• Structured Workflows: We also introduce the Process Framework, a highly structured, event-driven architecture designed for Business Process Automation (BPA) and long-running, mission-critical tasks that require explicit control over execution paths
.
Semantic Kernel provides the flexibility and reliability needed to transition generative AI from experimental concepts into production-ready business solutions
.

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