Explore Semantic Kernel (SK), a lightweight SDK designed to seamlessly integrate AI Large Language Models (LLMs) with conventional programming languages like ChatGPT. This session will guide you through the innovative features and applications of Microsoft's Semantic Kernel, empowering you to unlock the potential of AI in your projects and applications.

During this session, we will cover:

Introduction to Semantic Kernel:

A brief overview of SK and its role in bridging the gap between LLMs and traditional programming languages.

The SK Extensible Programming Model:

A deep dive into the architecture and components of SK, including prompt chaining, recursive reasoning, summarization, zero/few-shot learning, contextual memory, long-term memory, embeddings, semantic indexing, planning, and accessing external knowledge stores as well as your own data.

Integrating LLMs with Conventional Programming Languages:

Hands-on demonstrations and examples displaying how to leverage SK to bring AI capabilities into popular programming languages such as C# and Techniques for optimizing AI integration in your projects for maximum performance and efficiency.

Real-world Applications and Use Cases:

An examination of the diverse sectors and industries that can benefit from the capabilities unlocked by the SK programming model.
Future Directions and Opportunities:

A discussion on the future of SK and its potential impact on AI development and programming paradigms.

By the end of this session, you'll have an understanding of Semantic Kernel and its potential in integrating AI Large Language Models with conventional programming languages. Stay ahead of the curve and harness the power of AI in your projects!

Target Audience:

- Software developers and engineers
- AI and machine learning enthusiasts
- Technical team leads and managers

Preferred Session Duration: 45 - 60 minutes

Prior experience with AI Large Language Models, such as GPT is recommended but not required.
Slides and example code will be provided to participants after the session.