AI and Enterprise: Embedding Models, RAG, and Mathematical Reasoning with Tengyu Ma
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AI and Enterprise: Embedding Models, RAG, and Mathematical Reasoning with Tengyu Ma
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In this episode, Vijay interviews Tengyu Ma, Assistant Professor of Computer Science at Stanford University and Chief Scientist at MongoDB. Tengyu shares insights into his journey from academia to industry, discussing his role following MongoDB's acquisition of Voyage AI and the importance of embedding models and ReRankers in AI-powered search systems. He delves into the differences and applications of fine-tuning, retrieval augmented generation (RAG), and long context windows, providing analogies to human problem-solving. Tengyu also sheds light on the significance of focusing on mathematical reasoning to develop AI models and offers advice for researchers and PhD students looking to commercialize their research. His unique perspective on the rapid progression and impact of AI on various sectors, coupled with his extensive experience in both academic and corporate settings, provides a thorough overview of the current and future landscape of AI technology.
