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Episode 27: How to Build Terrible AI Systems
Episode 27: How to Build Terrible AI Systems

Hugo speaks with Jason Liu, an independent consultant who uses his expertise in recommendation systems to help fast-growing startups build out their …

1 year, 7 months ago

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Episode 26: Developing and Training LLMs From Scratch
Episode 26: Developing and Training LLMs From Scratch

Hugo speaks with Sebastian Raschka, a machine learning & AI researcher, programmer, and author. As Staff Research Engineer at Lightning AI, he focuse…

1 year, 8 months ago

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Episode 25: Fully Reproducible ML & AI Workflows
Episode 25: Fully Reproducible ML & AI Workflows

Hugo speaks with Omoju Miller, a machine learning guru and founder and CEO of Fimio, where she is building 21st century dev tooling. In the past, she…

1 year, 9 months ago

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Episode 24: LLM and GenAI Accessibility
Episode 24: LLM and GenAI Accessibility

Hugo speaks with Johno Whitaker, a Data Scientist/AI Researcher doing R&D with answer.ai. His current focus is on generative AI, flitting between dif…

1 year, 10 months ago

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Episode 23: Statistical and Algorithmic Thinking in the AI Age
Episode 23: Statistical and Algorithmic Thinking in the AI Age

Hugo speaks with Allen Downey, a curriculum designer at Brilliant, Professor Emeritus at Olin College, and the author of Think Python, Think Bayes, T…

2 years ago

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Episode 22: LLMs, OpenAI, and the Existential Crisis for Machine Learning Engineering
Episode 22: LLMs, OpenAI, and the Existential Crisis for Machine Learning Engineering

Jeremy Howard (Fast.ai), Shreya Shankar (UC Berkeley), and Hamel Husain (Parlance Labs) join Hugo Bowne-Anderson to talk about how LLMs and OpenAI ar…

2 years, 1 month ago

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Episode 21: Deploying LLMs in Production: Lessons Learned
Episode 21: Deploying LLMs in Production: Lessons Learned

Hugo speaks with Hamel Husain, a machine learning engineer who loves building machine learning infrastructure and tools 👷. Hamel leads and contribute…

2 years, 2 months ago

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Episode 20: Data Science: Past, Present, and Future
Episode 20: Data Science: Past, Present, and Future

Hugo speaks with Chris Wiggins (Columbia, NYTimes) and Matthew Jones (Princeton) about their recent book How Data Happened, and the Columbia course i…

2 years, 3 months ago

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Episode 19: Privacy and Security in Data Science and Machine Learning
Episode 19: Privacy and Security in Data Science and Machine Learning

Hugo speaks with Katharine Jarmul about privacy and security in data science and machine learning. Katharine is a Principal Data Scientist at Thought…

2 years, 5 months ago

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Episode 18: Research Data Science in Biotech
Episode 18: Research Data Science in Biotech

Hugo speaks with Eric Ma about Research Data Science in Biotech. Eric leads the Research team in the Data Science and Artificial Intelligence group a…

2 years, 7 months ago

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