Join us for a hands-on session where you'll learn to build your own AI-powered assistant, or "Copilot," using the Chainlit framework. Chainlit simplifies the integration of large language models (LLMs) into applications, enabling intelligent, natural language interactions. We'll start by creating a simple app connected to an LLM and then enhance it with Retrieval-Augmented Generation (RAG) techniques. You’ll also learn to integrate multiple data sources like PDFs and CSVs for more powerful responses, and we'll cover testing strategies to ensure reliable performance. Perfect for developers eager to add conversational AI to their projects!

Key Takeaways:

• Learn how to build your own AI-powered assistant using the Chainlit framework to seamlessly integrate LLMs into applications.
• Discover the basics of connecting your AI assistant to a single data source, like PDFs, to enhance response accuracy.
• Explore advanced techniques, such as Retrieval-Augmented Generation (RAG), for multi-source integration (PDF, CSV) to boost functionality.
• Master testing and evaluation strategies to ensure your AI assistant performs reliably and meets user expectations.