Jeroen Overschie
Jeroen is a Machine Learning Engineer at Xebia Data (formerly GoDataDriven), in The Netherlands. Jeroen has a background in Software Engineering and Data Science and helps companies take their Machine Learning solutions into production.
Besides his usual work, Jeroen has been active in the Open Source community. Jeroen published several PyPi modules, npm modules, and has contributed to several large open source projects (Hydra from Facebook and Emberfire from Google). Jeroen also authored two chrome extensions, which are published on the web store.
Sessions
LLM's can be supercharged using a technique called RAG, allowing us to overcome dealbreaker problems like hallucinations or no access to internal data. RAG is gaining more industry momentum and is becoming rapidly more mature both in the open-source world and at major Cloud vendors. But what can we expect from RAG? What is the current state of the tech in the industry? What use-cases work well and which are more challenging? Let's find out together!