Richmond Alake, an AI/ML practitioner and Developer Advocate at MongoDB, dives into the critical role of databases in AI. He discusses the current AI hype, emphasizing the need for modern databases like MongoDB to support innovative applications. Alake shares insights from his journey in software engineering and highlights the importance of continuous learning in the rapidly evolving AI landscape. Key topics include the significance of Retrieval Augmented Generation and best practices for optimizing AI workloads.
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Rich's Journey to MongoDB and AI
Richmond Alake was introduced to MongoDB during an internship at General Electric while studying software engineering.
He later taught AI, ML, and data classes, and worked as a computer vision engineer and machine learning architect.
insights INSIGHT
AI Hype Cycle
It's difficult to determine if we're in an AI hype cycle due to rapid innovation and shrinking AI winters.
AI's continuous advancement makes it hard to distinguish hype from genuine progress.
insights INSIGHT
AI Database and RAG
An AI-optimized database facilitates Retrieval Augmented Generation (RAG) by storing vector embeddings.
These numerical representations of data enable searching by meaning, enhancing relevance.
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A Brief History of Information Networks from the Stone Age to AI
Yuval Noah Harari
In 'Nexus', Yuval Noah Harari delves into the long-term history of information networks, examining how the flow of information has made and unmade our world. The book takes readers from the Stone Age through significant historical events like the canonization of the Bible, early modern witch-hunts, Stalinism, Nazism, and the resurgence of populism today. Harari discusses the complex relationship between information, truth, bureaucracy, mythology, wisdom, and power, and addresses the urgent choices humanity faces as non-human intelligence threatens our existence. He argues that information networks are the primary driving force shaping human societies and that AI represents a new and critical phase in this history[2][3][5].
Richmond Alake, Developer Advocate at MongoDB, is an AI/ML practitioner with an academic background in computer vision, robotics, and machine learning. If databases that scale for AI are your thing, this one is for you.
02:05 Meet Rich Alake 03:57 A Developer Advocate at MongoDB 05:57 Passions and Fate! 08:52 AI Hype 13:14 Oh No. AGI Again… 17:30 What Makes and AI Database? 20:42 Use Cases 25:41 RAG Best Practices 27:40 The Role of Database 30:05 Why is MongoDB Better At? 32:43 What's Next 36:13 Advice on Contious Learning 38:44 Where to Find Rich?
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