Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
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Aug 11, 2023 • 5min

704: Jon’s “Generative A.I. with LLMs” Hands-on Training

Jon Krohn, expert in Large Language Models, shares a comprehensive training on Generative AI including hands-on code demos, transformer architectures, training and deploying LLMs, deriving commercial value, and future applications of AI in a structured learning experience
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Aug 8, 2023 • 1h 9min

703: How Data Happened: A History, with Columbia Prof. Chris Wiggins

Columbia Prof. Chris Wiggins discusses data's power dynamics, biology's transformation with data, and the New York Times data science team's innovative tech stack. Topics include humanities in data science, rearranging power through data, Bayes theorem controversy, data ethics, biology adapting to data science, and the NYT tech stack.
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Aug 4, 2023 • 11min

702: Llama 2 — It's Time to Upgrade your Open-Source LLM

Jon Krohn discusses Meta's newly released open-source large language model, Llama 2, highlighting its commercial prospects, immense capacity, model variety, and unique 'time awareness' feature. He also delves into its two-stage RLHF approach that enhances performance.
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Aug 1, 2023 • 1h 21min

701: Generative A.I. without the Privacy Risks (with Prof. Raluca Ada Popa)

Renowned computer scientist Prof. Raluca Ada Popa shares insights on securely interacting with AI APIs, safeguarding data while using commercial LLMs like GPT-4, open vs closed-source AI development, running compute pipelines across clouds, entrepreneurship, and the importance of confidentiality in AI research.
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Jul 28, 2023 • 5min

700: "The Dream of Life" by Alan Watts

Exploring Hindu mythology through Alan Watts' 'The Dream of Life' discussing existence, reality, and the nature of God. Delve into life as a dream within infinite possibilities and empowering self-improvement.
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Jul 25, 2023 • 51min

699: The Modern Data Stack, with Harry Glaser

Guest Harry Glaser and host Jon Krohn delve into the modern data stack, automating ML model deployment, and widening access to data analysis. They discuss tools like Snowflake and Redshift, CI/CD practices, and the importance of monitoring models with BI tools like Looker and Tableau.
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Jul 21, 2023 • 28min

698: How Firms Can Actually Adopt A.I., with Rehgan Avon

Rehgan Avon discusses the necessity of AI in businesses and steps to implement it company-wide. Topics include data-driven beer brewing, evolution of AI adoption, barriers faced by small organizations, and importance of AI education within companies.
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Jul 18, 2023 • 1h 27min

697: The (Short) Path to Artificial General Intelligence, with Dr. Ben Goertzel

Dr. Ben Goertzel, AI visionary and CEO of SingularityNET, discusses the realization of AGI within 3-7 years, its connection to ASI, and benefits for humankind. Topics include decentralized AGI, SingularityNET ecosystem, neuro-symbolic systems, ensuring benevolence, ethical AI behavior, and societal transformations.
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Jul 14, 2023 • 1h 3min

696: Brain-Computer Interfaces and Neural Decoding, with Prof. Bob Knight

Prof. Bob Knight discusses brain implants, machine learning in Parkinson's, and future advancements in brain-computer interfaces and neural decoding. Topics include brain regions, intracranial recordings for epilepsy, attention tasks analysis, amygdala responses, and neuroprosthetics.
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Jul 11, 2023 • 1h 38min

695: NLP with Transformers, feat. Hugging Face's Lewis Tunstall

Lewis Tunstall, Hugging Face's ML Engineer, delves into transformers in NLP, encoder-decoder structures, Hugging Face's role, democratizing ML models, and the importance of understanding transformers' inner workings. They explore the evolution of transformers in NLP, limitations of decoder models, AI companionship, deploying ML models, GPT-4 development, Hugging Face ecosystem, and balancing secrecy vs transparency in AI development.

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