Super Data Science: ML & AI Podcast with Jon Krohn
Jon Krohn
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.
Categories: Technology
Listen to the last episode:
Mixtral 8x22B is the focus on this week's Five-Minute Friday. Jon Krohn examines how this model from French AI startup Mistral leverages its mixture-of-experts architecture to redefine efficiency and specialization in AI-powered tasks. Tune in to learn about its performance benchmarks and the transformative potential of its open-source license. Additional materials: www.superdatascience.com/778 Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.
Previous episodes
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1012 - 778: Mixtral 8x22B: SOTA Open-Source LLM Capabilities at a Fraction of the Compute Fri, 26 Apr 2024
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1011 - 777: Generative AI in Practice, with Bernard Marr Tue, 23 Apr 2024
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1010 - 776: Deep Utopia: AI Could Solve All Human Problems in Our Lifetime Fri, 19 Apr 2024
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1009 - 775: What will humans do when machines are vastly more intelligent? With Aleksa Gordić Tue, 16 Apr 2024
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1008 - 774: RFM-1 Gives Robots Human-like Reasoning and Conversation Abilities Fri, 12 Apr 2024
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1007 - 773: Deep Reinforcement Learning for Maximizing Profits, with Prof. Barrett Thomas Tue, 09 Apr 2024
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1006 - 772: In Case You Missed It in March 2024 Fri, 05 Apr 2024
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1005 - 771: Gradient Boosting: XGBoost, LightGBM and CatBoost, with Kirill Eremenko Tue, 02 Apr 2024
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1004 - 770: The Neuroscientific Guide to Confidence Fri, 29 Mar 2024
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1003 - 769: Generative AI for Medicine, with Prof. Zack Lipton Tue, 26 Mar 2024
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1002 - 768: Is Claude 3 Better than GPT-4? Fri, 22 Mar 2024
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1001 - 767: Open-Source LLM Libraries and Techniques, with Dr. Sebastian Raschka Tue, 19 Mar 2024
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1000 - 766: Vonnegut's Player Piano (1952): An Eerie Novel on the Current AI Revolution Fri, 15 Mar 2024
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999 - 765: NumPy, SciPy and the Economics of Open-Source, with Dr. Travis Oliphant Tue, 12 Mar 2024
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998 - 764: The Top 10 Episodes of 2023 Fri, 08 Mar 2024
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997 - 763: The Best A.I. Startup Opportunities, with venture capitalist Rudina Seseri Tue, 05 Mar 2024
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996 - 762: Gemini 1.5 Pro, the Million-Token-Context LLM Fri, 01 Mar 2024
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995 - 761: Gemini Ultra: How to Release an A.I. Product for Billions of Users, with Google's Lisa Cohen Tue, 27 Feb 2024
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994 - 760: Humans Love A.I.-Crafted Beer Fri, 23 Feb 2024
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993 - 759: Full Encoder-Decoder Transformers Fully Explained, with Kirill Eremenko Tue, 20 Feb 2024
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992 - 758: The Mamba Architecture: Superior to Transformers in LLMs Fri, 16 Feb 2024
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991 - 757: How to Speak so You Blow Listeners' Minds, with Cole Nussbaumer Knaflic Tue, 13 Feb 2024
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990 - 756: AlphaGeometry: AI is Suddenly as Capable as the Brightest Math Minds Fri, 09 Feb 2024
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989 - 755: Brewing Beer with A.I., with Beau Warren Tue, 06 Feb 2024
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988 - 754: A Code-Specialized LLM Will Realize AGI, with Jason Warner Fri, 02 Feb 2024
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987 - 753: Blend Any Programming Languages in Your ML Workflows, with Dr. Greg Michaelson Tue, 30 Jan 2024
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986 - 752: AI is Disadvantaging Job Applicants, But You Can Fight Back Fri, 26 Jan 2024
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985 - 751: How to Found and Fund Your Own A.I. Startup, with Dr. Rasmus Rothe Tue, 23 Jan 2024
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984 - 750: How A.I. is Transforming Science Fri, 19 Jan 2024
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983 - 749: Data Science for Clean Energy, with Emily Pastewka Tue, 16 Jan 2024
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982 - 748: The Five Levels of AGI Fri, 12 Jan 2024
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981 - 747: Technical Intro to Transformers and LLMs, with Kirill Eremenko Tue, 09 Jan 2024
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980 - 746: A Continuous Calendar for 2024 Fri, 05 Jan 2024
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979 - 745: 2024 Data Science Trend Predictions Tue, 02 Jan 2024
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978 - 744: To a Peaceful 2024 Fri, 29 Dec 2023
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977 - 743: How to Integrate Generative A.I. Into Your Business, with Piotr Grudzień Tue, 26 Dec 2023
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976 - 742: Happy Holidays from All of Us Fri, 22 Dec 2023
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975 - 741: How to Visualize Data Effectively, with Prof. Alberto Cairo Tue, 19 Dec 2023
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974 - 740: Q*: OpenAI's Rumored AGI Breakthrough Fri, 15 Dec 2023
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973 - 739: AI is Eating Biology and Chemistry, with Dr. Ingmar Schuster Tue, 12 Dec 2023
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972 - 738: Engineering Biomaterials with Generative AI, with Dr. Pierre Salvy Fri, 08 Dec 2023
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971 - 737: scikit-learn's Past, Present and Future, with scikit-learn co-founder Dr. Gaël Varoquaux Tue, 05 Dec 2023
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970 - 736: How to Officially Certify your AI Model, with Jan Zawadzki Fri, 01 Dec 2023
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969 - 735: A.I. Product Management, with Google DeepMind's Head of Product, Mehdi Ghissassi Tue, 28 Nov 2023
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968 - 734: Humanoid Robot Soccer, with the Dutch RoboCup Team Fri, 24 Nov 2023
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967 - 733: OpenAssistant: The Open-Source ChatGPT Alternative, with Dr. Yannic Kilcher Tue, 21 Nov 2023
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966 - 732: Data Science for Astronomy, with Dr. Daniela Huppenkothen Fri, 17 Nov 2023
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965 - 731: A.I. Agents Will Develop Their Own Distinct Culture, with Nell Watson Tue, 14 Nov 2023
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964 - 730: How GitHub Operationalizes AI for Teamwide Collaboration and Productivity Fri, 10 Nov 2023
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963 - 729: Universal Principles of Intelligence (Across Humans and Machines), with Prof. Blake Richards Tue, 07 Nov 2023