Pierre-Loic is an AI Engineer at LlamaIndex, the data framework for building LLM applications. Before this, he has spent his career at the intersection of Software Engineering, research, AI and Law. He built Computational Law AI at AXA and Stanford Codex, and is co-organizing the Stanford LLM x Law Hackathon.
Explore the intricacies of LLM optimization in a roundtable focused on the merits and applications of Retrieval-Augmented Generation (RAG) versus fine-tuning techniques.