"Build a Goal-Oriented AI Agent Using Semantic Kernel" By Bill WIlder

Imagine an AI not limited to answering individual questions or chatting, but actively working towards a goal you've assigned to it.

In this session, we'll explore the building of an AI Agent – an autonomous actor that can execute tasks and achieve objectives on your behalf.

Along the way we will demystify:

1. 🧠 LLMs - What is a Large Language Model (LLM)
2. 📚 Tokens - What is a token and what are its roles
3. 💡 Embeddings - What are embedding models and vectors and what can they do for us
4. 🎯 Prompts - Beyond the basics
5. ⚙️ Tools - How can these be created and accessed using Semantic Kernel
6. 🤖 Agents - Let's put all these concepts to work!

The end result will be the core (or perhaps 'kernel' 😉) of an AI Agent - your virtual coworker willing to handle tasks on your behalf without. It will be built in C# using the open source, cross-platform Semantic Kernel library.

This talk assumes user-level familiarity with LLMs like ChatGPT or Microsoft Copilot and basic prompting. Anything else will be explained.

This talk does NOT use the Semantic Kernel Agent Framework which is still pre-release.

Contact: Sam Nasr (snasr@nistechnologies.com)

Cost: Free (open to the public)