Vanishing Gradients
A podcast for people who build with AI. Long-format conversations with people shaping the field about agents, evals, multimodal systems, data infrastructure, and the tools behind them. Guests include Jeremy Howard (fast.ai), Hamel Husain (Parlance Labs), Shreya Shankar (UC Berkeley), Wes McKinney (creator of pandas), Samuel Colvin (Pydantic) and more. hugobowne.substack.com
Get every episode summarized
Each time Vanishing Gradients publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Episodes (80)
Episode 33: What We Learned Teaching LLMs to 1,000s of Data Scientists
Vanishing Gradients
Episode 32: Building Reliable and Robust ML/AI Pipelines
Vanishing Gradients
Episode 31: Rethinking Data Science, Machine Learning, and AI
Vanishing Gradients
Episode 30: Lessons from a Year of Building with LLMs (Part 2)
Vanishing Gradients
Episode 29: Lessons from a Year of Building with LLMs (Part 1)
Vanishing Gradients
Episode 28: Beyond Supervised Learning: The Rise of In-Context Learning with LLM...
Vanishing Gradients
Episode 27: How to Build Terrible AI Systems
Vanishing Gradients
Episode 26: Developing and Training LLMs From Scratch
Vanishing Gradients
Episode 25: Fully Reproducible ML & AI Workflows
Vanishing Gradients
Episode 24: LLM and GenAI Accessibility
Vanishing Gradients
Episode 23: Statistical and Algorithmic Thinking in the AI Age
Vanishing Gradients
Episode 22: LLMs, OpenAI, and the Existential Crisis for Machine Learning Engine...
Vanishing Gradients
Episode 21: Deploying LLMs in Production: Lessons Learned
Vanishing Gradients
Episode 20: Data Science: Past, Present, and Future
Vanishing Gradients
Episode 19: Privacy and Security in Data Science and Machine Learning
Vanishing Gradients
Episode 18: Research Data Science in Biotech
Vanishing Gradients
Episode 17: End-to-End Data Science
Vanishing Gradients
Episode 16: Data Science and Decision Making Under Uncertainty
Vanishing Gradients
Episode 15: Uncertainty, Risk, and Simulation in Data Science
Vanishing Gradients
Episode 14: Decision Science, MLOps, and Machine Learning Everywhere
Vanishing Gradients
Episode 13: The Data Science Skills Gap, Economics, and Public Health
Vanishing Gradients
Episode 12: Data Science for Social Media: Twitter and Reddit
Vanishing Gradients
Episode 11: Data Science: The Great Stagnation
Vanishing Gradients
Episode 10: Investing in Machine Learning
Vanishing Gradients
9: AutoML, Literate Programming, and Data Tooling Cargo Cults
Vanishing Gradients
Episode 8: The Open Source Cybernetic Revolution
Vanishing Gradients
Episode 7: The Evolution of Python for Data Science
Vanishing Gradients
Episode 6: Bullshit Jobs in Data Science (and what to do about them)
Vanishing Gradients
Episode 5: Executive Data Science
Vanishing Gradients
Episode 4: Machine Learning at T-Mobile
Vanishing Gradients
Episode 3: Language Tech For All
Vanishing Gradients
Episode 2: Making Data Science Uncool Again
Vanishing Gradients
Episode 1: Introducing Vanishing Gradients
Vanishing Gradients