Coursera Spring Sale
40% Off Coursera Plus Annual!
Grab it
Explore the current state and future direction of Retrieval-Augmented Generation (RAG) technology in this conference talk by Tengyu Ma, Chief AI Scientist at MongoDB and Assistant Professor at Stanford. Examine the strategic debate between RAG, fine-tuning, and long-context approaches to understand which methodology best serves different use cases. Analyze the present benefits and challenges of RAG systems while discovering current solutions being implemented across the industry. Learn about the evolving landscape where AI models are taking on increasingly sophisticated roles in RAG architectures. Gain insights from Ma's unique perspective as former co-founder and CEO of Voyage AI before its acquisition by MongoDB, combining academic research with practical industry experience in advancing retrieval-augmented systems.
