AI Academy I Advanced Retrieval-Augmented Generation (RAG) I Christopher Tauchmann I Marcel Rosiak

Talk
Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by integrating information retrieval, overcoming key limitations such as hallucinations, outdated knowledge, and lack of access to private company data. This makes RAG a highly valuable business application across different industries. However, major challenges remain, including retrieval efficiency, source quality, and integration of structured and unstructured data. This AI Academy explores advanced RAG techniques that aim to solve these challenges.

Speakers
Christopher Tauchmann is a postdoctoral researcher at the AIML Lab at TU Darmstadt and hessian.AI. His work focuses on post-training LLMs, with an emphasis on reasoning.
Marcel Rosiak leads AI innovation at embraceableAI with a focus on developing practical, enterprise-ready language model solutions. Currently he is heading GRAG project, a collaborative effort to advance German-language AI capabilities.

AI Academy
The AI Academy (hessian.ai/entrepreneurship/ai-academy/) regularly presents current AI topics at the interface between AI research and AI application. In every episode, a speaker from research and from industry are invited to shed light on an innovative AI topic from both sides. The AI Academy is realized with the kind support of hessian.AI, EDITH , AI Startup Rising and AI Service Center.