In this episode of Neural Search Talks, we're chatting with Ronak Pradeep, a PhD student from the University of Waterloo, about his experience using LLMs in Information Retrieval, both as a backbone of ranking systems and for their end-to-end evaluation. Ronak analyzes the impact of the advancements in language models on the way we think about IR systems and shares his insights on efficiently integrating them in production pipelines, with techniques such as knowledge distillation.