Tune in to Episode 124 of the AIAW Podcast where we delve into the intriguing world of artificial intelligence with Hagay Lupesko, one of the contributors behind the groundbreaking #DBRX AI model. With a rich history in software and ML engineering at giants like GE, Meta, and Amazon, Hagay now shines as VP Engineering at MozaicML, a recent addition to the Databricks family. This episode covers a spectrum of fascinating topics: Hagay’s diverse journey before MozaicML and Databricks, the story behind MosaicML’s acquisition, and the revolutionary features of DBRX. We’ll explore the debates between open-source and closed-source in AI, GenAI’s transformative enterprise applications, and the technical intricacies behind DBRX’s exceptional performance. Plus, get Hagay’s insights on the future of Large Language Models (LLMs) and his vision of an Artificial General Intelligence (AGI) era. Whether it’s a dystopian nightmare or a utopian dream, Hagay’s perspective is a must-listen for anyone fascinated by the future of AI.
00:00:00 Intro
00:02:00 Tesla Unveils Free Full Self-Driving (FSB) for a Month
00:07:00 Meet Hagay Lupesko: Insights into His Journey and Expertise Before Joining MosaicML and Databricks
00:25:00 Behind the Scenes: The Story of MosaicML’s Innovation and Its Acquisition by Databricks
00:22:00 Deep Dive into DBRX: Exploring Its Technological Breakthroughs, Development Process, and Capabilities
00:41:00 Open Source vs Closed Source Debate: The Role of Open-Source Projects Like DBRX in AI Advancements
00:47:00 Unveiling the Success Secrets of DBRX: How It Surpassed Grok-1 with Fewer Parameters
00:52:00 The Future Unfolded: Next Steps for DBRX and Other Large Language Models in the Journey Towards AGI
00:57:00 Envisioning an AGI-Powered Future: From Science Fiction to Reality – Utopia or Dystopia?
11:01:00 AI News: This weeks Top AI News Highlights
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