What is Semantic Kernel (SK)?
Semantic Kernel (SK) is an innovative technology that enhances your applications. By seamlessly integrating into your existing solutions, SK empowers you to effortlessly incorporate powerful new features. SK enables the development of intelligent applications that efficiently process diverse data sources with precision. Its advanced artificial intelligence algorithms enable the identification of patterns within extensive datasets, extracting valuable insights. Additionally, SK offers high levels of customization, allowing you to tailor it to your specific requirements. With SK, you can create sophisticated applications capable of detecting data anomalies, predicting trends, and making informed decisions autonomously. By harnessing the capabilities of SK, you can optimize your data utilization and enhance the efficiency of your applications.
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Semantic Kernel (SK) FQA
- What is AutoGen?
- How can Semantic Kernel be used with AutoGen?
- What breaking changes were made for Semantic Kernel v1?
- What is the Semantic Kernel SDK?
- What are pre and post hooks in Semantic Kernel?
Semantic Kernel (SK) Use Cases
AutoGen Agents Meet Semantic Kernel
What to expect from v1 and beyond for Semantic Kernel.
GUEST POST – Crafting Unique AI Personas: Harnessing the Power of Logit Bias in Large Language Models
Chat Copilot Integration with Semantic Memory – Release 0.5
Introducing the v1.0.0 Beta1 for the .NET Semantic Kernel SDK
Skills to plugins: fully embracing the OpenAI plugin spec in Semantic Kernel
Supercharge Your Semantic Kernel Experience: Unleashing the Power of Pre and Post Hooks
Save Time with Semantic Kernel’s Updated Error Handling
Evaluate your plugins and planners with Prompt flow
GUEST POST – EmbedElite Meets Semantic Kernel: A Game-changer for Context Retrieval