Join us for an engaging session where we explore the fundamentals of Large Language Models (LLMs), Open Models, Retrieval-Augmented Generation (RAG), and building applications using Gemma. As AI continues to evolve, understanding LLMs and their capabilities is crucial for researchers, developers, and enthusiasts alike. We will begin with an introduction to how LLMs work, their architecture, and the differences between proprietary and open-source models.

The session will then delve into Retrieval-Augmented Generation (RAG), a cutting-edge technique that enhances language models by incorporating external knowledge, leading to more accurate, reliable, and context-aware responses. You’ll gain insights into how RAG improves applications by reducing hallucinations and enabling real-time, fact-based responses.

Finally, we will focus on building AI-powered applications using Gemma, exploring practical use cases, implementation strategies, and best practices for integration. Whether you're looking to develop intelligent chatbots, AI assistants, or domain-specific solutions, this session will provide hands-on knowledge to help you get started. Don’t miss this opportunity to dive deep into the next generation of AI-driven innovation!