Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
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128 snips
Apr 4, 2025 • 15min

876: Hugging Face’s smolagents: Agentic AI in Python Made Easy

Discover the power of Hugging Face's smolagents, a game-changing Python library designed for creating autonomous AI agents. Dive into its incredible features that allow for efficient task planning and execution across various industries. The discussion also unfolds advanced agentic frameworks like LangChain and Microsoft Autogen, showcasing their unique capabilities for handling complex workflows. This brief yet insightful exploration highlights how these tools can revolutionize collaborations in the AI landscape.
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69 snips
Apr 1, 2025 • 1h 10min

875: How Semiconductors Are Made (And Fuel the AI Boom), with Kai Beckmann

Kai Beckmann, CEO of Electronics at Merck KGaA, discusses the crucial role of semiconductors in the AI boom. He dives into the intricate manufacturing processes behind these essential components and highlights how material science is evolving alongside AI. Beckmann explains the concept of heterogeneous integration and the significance of high-precision metrology in chip development. The conversation also touches on future advancements in quantum and neuromorphic computing, showcasing a vision where chips might run efficiently on minimal power.
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84 snips
Mar 28, 2025 • 14min

874: How AI is Transforming Baseball (with Lessons For All of Us)

Artificial intelligence is changing the game of baseball, enhancing how teams analyze player performance and strategize. With advanced metrics like pitch trajectories and spin rates, teams gain a competitive edge. The conversation highlights lessons other industries can learn from baseball's data-driven approach. From scouting to fan engagement, discover how AI is redefining traditional methods and setting a new standard for performance analysis.
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168 snips
Mar 25, 2025 • 1h 13min

873: Become Your Best Self Through AI Augmentation — feat. Natalie Monbiot

In this engaging conversation, Natalie Monbiot, an independent advisor and founder of The Virtual Human Economy, discusses the groundbreaking future of virtual humans. She highlights how AI can enhance creativity without stifling individuality. They explore the challenges and opportunities of collaborating with AI, even for non-technical users. The duo also delves into maintaining mindfulness in a digital world and the importance of leveraging AI for personal and societal growth while ensuring a balanced relationship with technology.
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57 snips
Mar 21, 2025 • 12min

872: Microsoft’s “Majorana 1” Chip Brings Quantum ML Closer

Dive into the breakthroughs of Microsoft's Majorana 1 chip, which utilizes topological qubits for enhanced stability. This technology promises to revolutionize fields like data science, AI, healthcare, and cybersecurity. Discover how this innovative quantum processing unit could be the game-changer we've been waiting for, ushering in a new era of practical quantum computing applications.
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166 snips
Mar 18, 2025 • 1h 13min

871: NoSQL Is Ideal for AI Applications, with MongoDB’s Richmond Alake

Richmond Alake, Staff Developer Advocate at MongoDB, shares his insights on utilizing NoSQL databases for AI applications. He highlights the advantages of MongoDB's flexible document data model and native vector databases for agentic AI. Richmond predicts the rise of multi-agent architectures by 2025, emphasizing the need for adaptable strategies in a rapidly evolving tech landscape. He also delves into the role of AI in memory management and collaborative frameworks like ARENA, offering a glimpse into the future of AI development.
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86 snips
Mar 14, 2025 • 17min

870: OpenAI’s “Deep Research”: Get Days of Human Work Done in Minutes

Explore the groundbreaking capabilities of OpenAI’s Deep Research, a tool that revolutionizes literature reviews and accelerates research efficiency. Discover how it synthesizes findings with remarkable reasoning skills, outperforming competitors like Google. The discussion also highlights its practical applications in real-world scenarios, showcasing how it enhances productivity for researchers and students alike. Dive into the future of AI-driven research and its transformative potential!
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50 snips
Mar 11, 2025 • 1h 20min

869: AI Should Make Humans Wiser (But It Isn’t), with Varun Godbole

Join Varun Godbole, a deep learning researcher from the Gemini team at Google, as he explores the evolving relationship between humans and AI. He sheds light on the concept of 'wise AI' that aims to enhance human wisdom and agency rather than simply replacing jobs. The discussion dives into the nuances of AI prompt engineering and the collaborative power of AI in fields like healthcare. Varun also tackles the future of neural networks and the importance of interpersonal skills in effective AI interactions.
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8 snips
Mar 7, 2025 • 27min

868: In Case You Missed It in February 2025

Colleen Fotch, a pro-athlete turned data engineer, dives into essential tools like DBT for data management. She explains how DBT simplifies data modeling and automates processes, making life easier for data engineers. The conversation also touches on generative AI's role in fitness and data, highlighting its benefits for collaboration. Fotch discusses the innovative BAML programming language aimed at novice coders and explores the impactful applications of TabPFN in science and medicine, keeping listeners engaged with the evolving data landscape.
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116 snips
Mar 4, 2025 • 1h 33min

867: LLMs and Agents Are Overhyped, with Dr. Andriy Burkov

Dr. Andriy Burkov, a best-selling author and AI influencer, shares his insights on the future of AI, particularly questioning the hype around AI agents and large language models. He discusses innovative chatbot designs that avoid common pitfalls like hallucination. Burkov also reflects on the journey of language modeling, the evolution of natural language processing, and how Talent Neuron leverages data to transform talent management. He emphasizes the gap between human cognitive abilities and AI, stressing the skepticism around the effectiveness of AI in real-world applications.

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