In the era of Large Language Models (LLMs), Retrieval Augmented Generation (RAG) has emerged as a crucial technology to bolster the effectiveness of these powerful systems. However, the journey from recognizing its need to successful implementation is fraught with unexpected challenges and complexities. This talk will engage attendees with the subtle, yet significant pitfalls in the process, including issues related to data availability, format, tokenization, embedding, revealing that even when it seems nothing can go wrong, it often does.
Gyula is a passionate AI evangelist, with an insatiable appetite for understanding the full scope of artificial intelligence technology and its transformative impact on the world. His academic journey began with a degree in Telecommunication Engineering, but his curiosity led him to also acquire a degree in Economics. This unique blend of technical and economic insight has positioned him perfectly...