Ready to take your AI skills to the next level? Join us for session 2 of an interactive workshop series to dive into the practical implementation of Retrieval-Augmented Generation (RAG). This powerful technique combines large language models (LLMs) with retrieval mechanisms to build intelligent, context-aware systems.

💡This session is designed to guide you through integrating Large Language Models (LLMs) with retrieval mechanisms to develop models that deliver accurate, data-enriched responses—perfect for building impactful customer support systems or student assistant bots.

👩‍💻𝗪𝗵𝗮𝘁 𝘆𝗼𝘂'𝗹𝗹 𝗹𝗲𝗮𝗿𝗻:

🔹Fundamentals of RAG: Understand how retrieval enhances generative capabilities in AI models.

🔹Building a RAG Pipeline: Explore the tools, libraries, and best practices for implementing a RAG pipeline on your laptop.

🔹Real-Time Data Integration: Leverage vector search using tools like ChromaDB to produce context-rich outputs.

🔹Customer Support/Student Assistant Bot Use Case: Build responsive AI solutions tailored to real-world applications.

🔹Debugging and Optimization: Learn techniques to ensure your model runs efficiently and accurately.

👥 Who Should Attend: Students, developers, AI enthusiasts, and anyone eager to deepen their understanding of modern NLP tools.

📅 Date: 15th November 2024

📍 Location: University of Mannheim, EO162

Don't miss this opportunity to elevate your AI expertise with hands-on experience and guidance.

👨‍💻 𝗣𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻

Please bring a fully charged laptop. We'll guide you through all the other steps during the workshop.