Breaking down the latest developments in AI with two experts — Jasper Masemann, investment partner at Cherry Ventures, and Lutz Finger, a visiting senior lecturer at Cornell University's SC Johnson College of Business and President of Product and Development at Marpai, Inc.
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We are back! In this episode, we revisit our 2023 predictions. What happened? What did not happen? Dive into topics like the state of MLOps or the hardware evolution. Tune in and we are very happy to welcome you back for the 2024 season of Lutz & Jasper!
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The synergy between LLMs and knowledge graphs
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Sounding intelligent doesn’t equate to actual intelligence. This is a challenge with generative AI. While LLMs might pass the Turing test, they don’t always possess factual knowledge. In this episode, we’re delving deeper into how startups and enterprises can leverage generative AI effectively in our conversation Mike Dilinger, a leading expert in …
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Large Language Models: one interface to rule them all?
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Learn how LLMs can be used as a unified UX interface in this deep dive with Tariq Rauf, founder of Qatalog, as we jump into the product and technical challenges of using generative AI on top of enterprise products.
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We're always thrilled to see your burning questions and this time we decided to answer them on air. Curious about how AI use cases differ for frontline workers vs. high-skilled knowledge workers? Or wondering about the VC hype and the massive investment flowing into AI? We've got it covered.
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Are we one step closer to using LLMs in practice?
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LLMs + vector search = RAG.In this episode, we introduce you to Retrieval-Augmented Generation (RAG) and how it might allow us to better and more easily implement LLMs in our day-to-day work. We believe current LLMs are best used as an interface, and if we want to make enterprise search useful, RAGs can be the solution.…
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AI is not totally absent of human work. So, what's the human factor in AI? Lutz and Jasper break it down, including a primer on supervised and unsupervised learning.
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What the latest in AI funding tells us
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What do the latest funding rounds tell us about the recent evolution of AI? This week, our hosts jump into AI funding landscape, looking primarily at three rounds to hit the headlines as of late. But, more than simply skimming the funding surface, they look at the different use cases behind the companies, continuing to explore the full range of AI'…
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Will LLMs scale and revolutionize the legal space?
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This week, Jasper and Lutz go back to school. Speaking in front of Lutz's course at Cornell University's SC Johnson College of Business, Jasper and Lutz speak with Torben Gerkensmeyer, Head of Engineering at LegalOS around the power and potential of LLMs in the legal space plus in work overall.
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Bias in, bias out: Addressing the impact of bias in AI
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In this week's episode, Lutz and Jasper breakdown the impact of bias in AI — and what it means for startups.
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The future is indie: AI’s impact on the music industry
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In this week’s episode, our hosts debate the role — and larger influence — that AI and neural networks will have on music itself and the overarching music industry. How will music creation, ranging from ideation to composition to final production be impacted? What will happen to the so-called creative “human touch”? What about issues surrounding co…
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How Ultimate evolved from hundreds of supervised models to UltimateGPT
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This week, Lutz and Jasper sit down with a special guest — Reetu Kainulainen, cofounder and CEO of Ultimate. For the past six years, he and his team have been exploring and using conversational AI to improve customer service. The team just launched UltimateGPT, which allows users to integrate ChatGPT into their support center.…
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Connecting LLMs to the world: The possibilities of the feedback loop
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Lutz and Jasper jump into autonomous agents, looking at the possibilities and the limitations of these AI-powered task masters.
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Will open or closed AI models win?
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Lutz and Jasper talk what's new in AI and make some predictions for the rest of the year. The big question at hand: Will open or closed AI models win?
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Lutz and Jasper break down AI as interface.
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