802 episodes

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

Super Data Science: ML & AI Podcast with Jon Krohn Jon Krohn

    • Technology
    • 4.7 • 37 Ratings

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

    802: In Case You Missed It in June 2024

    802: In Case You Missed It in June 2024

    How to grab investor interest with your AI startup idea, revisiting algorithms, and helping practitioners ensure AI safety with regulatory frameworks and beyond: This month, you missed a whole bunch of great interviews. But don’t worry, Jon Krohn is here to recap all the best bits for you!

    Additional materials: www.superdatascience.com/802

    Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

    • 23 min
    801: Merged LLMs Are Smaller And More Capable, with Arcee AI's Mark McQuade and Charles Goddard

    801: Merged LLMs Are Smaller And More Capable, with Arcee AI's Mark McQuade and Charles Goddard

    Merged LLMs are the future, and we’re exploring how with Mark McQuade and Charles Goddard from Arcee AI on this episode with Jon Krohn. Learn how to combine multiple LLMs without adding bulk, train more efficiently, and dive into different expert approaches. Discover how smaller models can outperform larger ones and leverage open-source projects for big enterprise wins. This episode is packed with must-know insights for data scientists and ML engineers. Don’t miss out!

    Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

    In this episode you will learn:
    • Explanation of Charles' job title: Chief of Frontier Research [03:31]
    • Model Merging Technology combining multiple LLMs without increasing size [04:43]
    • Using MergeKit for model merging [14:49]
    • Evolutionary Model Merging using evolutionary algorithms [22:55]
    • Commercial applications and success stories [28:10]
    • Comparison of Mixture of Experts (MoE) vs. Mixture of Agents [37:57]
    • Spectrum Project for efficient training by targeting specific modules [54:28]
    • Future of Small Language Models (SLMs) and their advantages [01:01:22]

    Additional materials: www.superdatascience.com/801

    • 1 hr 17 min
    799: AGI Could Be Near: Dystopian and Utopian Implications, with Dr. Andrey Kurenkov

    799: AGI Could Be Near: Dystopian and Utopian Implications, with Dr. Andrey Kurenkov

    No-code games with GenAI, the creative possibilities of LLMs, and our proximity to AGI: In this episode, Jon Krohn talks to Andrey Kurenkov about what turned him from an AGI skeptic to a positivist. You’ll also hear about his wildly popular podcast “Last Week in AI” and how the NVIDIA-backed startup Astrocade is helping videogame enthusiasts to create their own games through generative AI. A must-listen!

    This episode is brought to you by AWS Inferentia and AWS Trainium. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

    In this episode you will learn:
    • All about The Gradient and Last Week in AI [10:42]
    • All about Astrocade and Andrey’s role at the startup [24:35]
    • Balancing UX and creative control at Astrocade [42:00]
    • The creative possibilities of LLMs [1:04:15]
    • The rapid emergence of AGI [1:10:31]

    Additional materials: www.superdatascience.com/799

    • 1 hr 45 min
    798: Claude 3.5 Sonnet: Frontier Capabilities & Slick New "Artifacts" UI

    798: Claude 3.5 Sonnet: Frontier Capabilities & Slick New "Artifacts" UI

    Claude 3.5 Sonnet, Anthropic’s newest model, is making waves in the AI community. This mid-size model outshines the larger Claude 3 Opus in tasks like code generation, content creation, and document summarization, and it’s twice as fast. In this episode of The Super Data Science Podcast, Jon Krohn discusses its top-notch performance across benchmarks like MMLU, GPQA, and HumanEval, along with its improved machine vision capabilities. Plus, learn about the new Artifacts UI feature, which makes managing generated content easier by displaying outputs side-by-side with inputs. Tune in to find out why Claude 3.5 Sonnet is setting new standards in AI.
    Additional materials: www.superdatascience.com/798
    Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

    • 15 min
    797: Deep Learning Classics and Trends, with Dr. Rosanne Liu

    797: Deep Learning Classics and Trends, with Dr. Rosanne Liu

    Dr. Rosanne Liu, Research Scientist at Google DeepMind and co-founder of the ML Collective, shares her journey and the mission to democratize AI research. She explains her pioneering work on intrinsic dimensions in deep learning and the advantages of curiosity-driven research. Jon and Dr. Liu also explore the complexities of understanding powerful AI models, the specifics of character-aware text encoding, and the significant impact of diversity, equity, and inclusion in the ML community. With publications in NeurIPS, ICLR, ICML, and Science, Dr. Liu offers her expertise and vision for the future of machine learning.

    Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

    In this episode you will learn:
    • How the ML Collective came about [03:31]
    • The concept of a failure CV [16:12]
    • ML Collective research topics [19:03]
    • How Dr. Liu's work on the “intrinsic dimension” of deep learning models inspired the now-standard LoRA approach to fine-tuning LLMs [21:28]
    • The pros and cons of curiosity-driven vs. goal-driven ML research [29:08]
    • Discussion on Dr. Liu's research and papers [33:17]
    • Character-aware vs. character-blind text encoding [54:59]
    • The positive impacts of diversity, equity, and inclusion in the ML community [57:51]

    Additional materials: www.superdatascience.com/797

    • 1 hr 9 min
    796: Earth's Coming Population Collapse and How AI Can Help, with Simon Kuestenmacher

    796: Earth's Coming Population Collapse and How AI Can Help, with Simon Kuestenmacher

    Want to feel optimistic about your day? In this Friday episode, Simon Kuestenmacher talks to Jon Krohn about demography: What it is, why it’s so important, and why its forecasts should give us reason to hope for a better future. In an increasingly globalized world, and with an aging population in countries with the biggest GDPs, demography is more valuable than ever.

    Additional materials: www.superdatascience.com/796

    Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

    • 42 min

Customer Reviews

4.7 out of 5
37 Ratings

37 Ratings

Pen-London ,

Amazing brain challenges!!!

Thank you Jon for the amazing work and contribution to the data science industry.
Your ability and passion in making the complex digestible episode after episode is second to none.
I value this podcast so much, words can hardly express to what extent I do…
Every time I listen to an episode, I am highly challenged and learn so much.
So thank you so much and long live this amazing podcast!

niciac27 ,

Very informative and up to date

Thank you for this podcast. I really enjoy it, both the technical episodes with guests like Kirill Eremenko as well as the more business-oriented like the one with Sol Rashidi! Keep up the good work!

BrankBoss ,

Thank you

Great podast, thank you for making it. Travis Oliphant was a fantastic guest IMHO.

Top Podcasts In Technology

Acquired
Ben Gilbert and David Rosenthal
All-In with Chamath, Jason, Sacks & Friedberg
All-In Podcast, LLC
Lex Fridman Podcast
Lex Fridman
Darknet Diaries
Jack Rhysider
Hard Fork
The New York Times
Search Engine
PJ Vogt, Audacy, Jigsaw

You Might Also Like

Practical AI
Changelog Media
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Sam Charrington
Last Week in AI
Skynet Today
Data Skeptic
Kyle Polich
DataFramed
DataCamp
This Day in AI Podcast
Michael Sharkey, Chris Sharkey