Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
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11 snips
Oct 4, 2024 • 14min

824: Llama 3.2: Open-Source Edge and Multimodal LLMs

Discover the groundbreaking features of Llama 3.2, designed for lightweight on-device applications and advanced image processing. Explore how this release revolutionizes open-source AI, making it more accessible for developers. Uncover the Llama Stack toolkit aimed at simplifying deployment, and learn about Llama Guard 3, a new content moderation solution. With strong backing from cloud and hardware partners, Llama 3.2 is poised to redefine AI capabilities across mobile platforms and beyond.
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15 snips
Oct 1, 2024 • 1h 21min

823: Virtual Humans and AI Clones, with Natalie Monbiot

Natalie Monbiot, Head of Strategy at Hour One, discusses the revolutionary impact of AI avatars on industries like L&D and e-commerce. She unpacks how virtual humans are reshaping digital communication and fostering real connections post-COVID. The conversation explores the ethical challenges of creating these avatars, transparency issues, and the virtual human economy. Natalie also highlights advancements in AI that enhance content engagement and emphasizes the importance of authenticity in AI-generated interactions. Get ready to rethink virtual communication!
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13 snips
Sep 27, 2024 • 19min

822: NotebookLM: Jaw-Dropping Podcast Episodes Generated About Your Documents

Discover how NotebookLM, Google’s latest AI tool, can transform massive documents into engaging audio content. Jon Krohn shares his experience turning a 200-page dissertation into an 11-minute podcast. Unpack the fascinating interplay between genetics and anxiety, exploring how mice studies reveal surprising similarities to humans. Dive into innovative research methodologies that link genetic diversity and environment to anxiety, while contemplating the ethical implications of gene therapy. This is a journey through the future of content creation and mental health.
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25 snips
Sep 24, 2024 • 1h 13min

821: The Skills You Need to Be an Effective Data Scientist, with Marck Vaisman

Marck Vaisman, a Senior Cloud Solutions Architect at Microsoft and adjunct professor, shares his insights on effective data science roles. He reveals four key data practitioner personas and critiques common career roadmaps that often fall short. Discussing the elusive nature of the “data scientist” title, Marck emphasizes the importance of clarity in roles and skills. He highlights the essential blend of technical know-how and soft skills necessary for success, alongside the increasing significance of community and generative AI tools in the field.
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25 snips
Sep 20, 2024 • 27min

820: OpenAI's o1 "Strawberry" Models

Explore the groundbreaking capabilities of OpenAI's latest o1 'Strawberry' models. Discover how these models revolutionize AI with advanced reasoning skills, mirroring human thought processes. Delve into their strengths and limitations as they signify a potential turning point in generative AI technology. Gain insight into the future implications of these models, especially in relation to the concept of singularity.
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22 snips
Sep 17, 2024 • 1h 6min

819: PyTorch: From Zero to Hero, with Luka Anicin

Luka Anicin, CEO of Data Blues and a Udemy instructor with over 500,000 students, dives into the world of PyTorch, promoting its user-friendly approach for newcomers in AI. He discusses the importance of starting simple in machine learning projects, emphasizing data quality over complexity. Luka highlights the advantages of transfer learning for smaller datasets and the necessity of real-world projects to build a solid data science portfolio. Tune in for insights on increasing accuracy and efficiency using PyTorch!
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Sep 13, 2024 • 30min

818: In Case You Missed It in August 2024

Shingai Manjengwa, a thought leader on the future of work, discusses the necessity of continuous education in a rapidly evolving job landscape. Daniel Hulme shares insights on structuring AI systems within businesses, while Jerry Yurchisin emphasizes the role of data engineering in a decentralized world. Nick Elprin elaborates on the advantages of decentralization for technology and business, highlighting the transformative power of AI agents in handling complex tasks. Together, they envision a future where learning and adaptability drive organizational success.
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23 snips
Sep 10, 2024 • 1h 36min

817: The Positron IDE, Tidy NLP and MLOps with Dr. Julia Silge

Dr. Julia Silge, Engineering Manager at Posit, discusses the innovative Positron IDE designed for data scientists. She shares the key differences between MLOps and classic NLP methods, emphasizing when each is most effective. Julia also reveals her top picks for LLMs that enhance coding productivity and highlights essential open-source libraries for MLOps. Her insights on the importance of tidy data and its relevance in R's tidyverse are particularly enlightening, making this conversation a must-listen for data professionals.
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Sep 6, 2024 • 20min

816: Explaining AGI to a 94-Year-Old

In this touching conversation, Jon Krohn chats with his 94-year-old grandmother, Annie, who is diving into data science and AI. They break down what data is and the role of a data scientist in simple terms. Annie learns about the evolution of AI and the implications of artificial general intelligence. The discussion also highlights how automation could transform work, making it optional, enhancing leisure time with loved ones, and improving quality of life. It's a heartwarming example of bridging generations through knowledge.
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14 snips
Sep 3, 2024 • 1h 27min

815: Polars: Faster DataFrame Ops, with Marco Gorelli

In this enlightening discussion, Marco Gorelli, a Senior Software Engineer at Quansight Labs and a core developer of the Polars and Narwhals libraries, shares his insights on optimizing data operations. He explains when to use Polars over Pandas and its unique features like lazy evaluation and string optimizations. Marco also delves into the Narwhals library, bridging compatibility with Pandas. He shares his strategies for winning forecasting competitions and addresses the need for greater diversity in data science. Prepare for a deep dive into the future of data manipulation!

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