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Vanishing Gradients

Hugo Bowne-Anderson
Machine Learning
Large Language Models
Data Science
Artificial Intelligence
Generative AI
Probable
Prompt Engineering
Fine Tuning
Visualization
Open Source
Pre-Training
Open Source Collaboration
Scikit-Learn
Data Management
Fast.ai
Covid-19
Statistical Thinking
Developer Tools
Conversational AI
Data Journalism

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

PublishesTwice monthlyEpisodes71Founded4 years ago
Number of ListenersCategories
TechnologyScience

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Artwork for Vanishing Gradients

Latest Episodes

Our thesis is that AI is still just engineering… those people who tell us for fun and profit, that somehow AI is so, so profound, so new, so different from anything that’s gone before that it somehow eclipses the need for good engineering practice ar... more

There’s a company who spent almost $50,000 because an agent went into an infinite loop and they forgot about it for a month.

It had no failures and I guess no one was monitoring these costs. It’s nice that people do write about that in the database ... more

> It’s the agent writing the code. And it’s the development loop of writing the code, building testing, write the code, build test and iterating. And so I do think we’ll see for many types of software, a shift away from Python towards other programmi... more

The best way to build a horrible search product? Don’t ever measure anything against what a user wants.

Search veterans Doug Turnbull (Led Search at Reddit + Shopify; Wrote Relevant Search + AI Powered Search) and John Berryman (Early Engineer on Gi... more

Key Facts

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Recent Guests

Samuel Colvin
Creator of Pydantic and leading the team building the Pydantic Stack
Pydantic
Episode: Episode 71: Durable Agents - How to Build AI Systems That Survive a Crash with Samuel Colvin
Alex Strick van Linschoten
Machine Learning Engineer at ZenML and creator of the LMM Ops database
ZenML
Episode: Episode 70: 1,400 Production AI Deployments
Eleanor Berger
Founder of Elite AI Assisted Coding
Elite AI Assisted Coding
Episode: Episode 67: Saving Hundreds of Hours of Dev Time with AI Agents That Learn
Isaac Flaath
Founder of Elite AI Assisted Coding
Elite AI Assisted Coding
Episode: Episode 67: Saving Hundreds of Hours of Dev Time with AI Agents That Learn
Eric Ma
Leads Research Data Science in the Data Science and AI Group at Moderna Therapeutics
Moderna Therapeutics
Episode: Episode 66: The Agent Paradox - Why Moderna's Most Productive AI Systems Aren't Agents
Jeff Huber
CEO and co-founder of Chroma, building modern search infrastructure for AI
Chroma
Episode: Episode 65: The Rise of Agentic Search
Dr. Randall Olson
Co-founder of Wyrd Studios, an expert in AI applications and executive strategy
Wyrd Studios
Episode: Episode 62: Practical AI at Work: How Execs and Developers Can Actually Use LLMs
Bryan Bischof
Guest caller from Theory Ventures discussing failure analysis in AI.
Theory Ventures
Episode: Episode 60: 10 Things I Hate About AI Evals with Hamel Husain
John Berryman
Founder of Arcturus Labs, author of Prompt Engineering for LLMs, and early engineer on GitHub Copilot.
Arcturus Labs
Episode: Episode 59: Patterns and Anti-Patterns For Building with AI

Host

Hugo Bowne-Anderson
Host and expert in data science and AI, focusing on the integration of technology and development practices.

Reviews

4.9 out of 5 stars from 43 ratings
  • Substantive!

    Practical, smart content from an industry veteran

    Apple Podcasts
    5
    eddielandes
    United States3 months ago
  • Best data science podcast to come out in a while

    [see title]

    Apple Podcasts
    5
    vishalthatsme
    United States4 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Listeners appreciate the deep dives into complex topics relating to AI and data science, citing the educational value and the range of expert guests as standout features.
The format encourages critical thinking, which resonates well with professionals in the tech industry.
Moreover, the podcast is praised for addressing real-world challenges and providing practical insights, making it relevant for working professionals.

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Talking Points

Recent interactions between the hosts and their guests.

Episode 71: Durable Agents - How to Build AI Systems That Survive a Crash with Samuel Colvin
Q: Could you just give us a bit of your background?
Pydantic predates Gen.AI by a few years and started as a project in 2017 out of a need to validate data more efficiently.
Episode 70: 1,400 Production AI Deployments
Q: What are your thoughts on context engineering and its importance in AI development?
Context engineering has emerged as a discipline to manage the limited context of LLMs, and it's essential to find ways to optimize context usage to ensure systems operate effectively without overwhelming token limits.
Episode 70: 1,400 Production AI Deployments
Q: What has changed in the development of AI since the last time we talked?
There has been a step function improvement in model performance, making more reliable agentic systems possible and leading to greater adoption in enterprise environments.
Episode 43: Tales from 400+ LLM Deployments: Building Reliable AI Agents in Production
Q: What are the top three takeaways from analyzing the LLM deployments?
There is wide variance in use cases, the fundamentals still matter, and successful projects are driven by user-centered problems rather than just technology.
Episode 64: Data Science Meets Agentic AI with Michael Kennedy (Talk Python)
Q: Is someone who's just learned a bit of Python able to jump in and really build with this?
I would say yes. If you're not very good with Python, it's not a massive advantage to be a Python expert.

Audience Metrics

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Frequently Asked Questions About Vanishing Gradients

What is Vanishing Gradients about and what kind of topics does it cover?

A thought-provoking series focused on the complexities and evolving nature of data science, artificial intelligence, and their practical applications. Through in-depth discussions, the conversation often centers around the challenges faced in the industry, including deployment, evaluation, and the integration of AI into business processes. The expertise of guests who come from diverse scientific and technical backgrounds enriches the dialogue, providing listeners with insights into the latest advancements and best practices within the AI field. There is a strong emphasis on fostering critical thinking about these technologies, making it not just informative for newcomers, but also a valuable resource for seasoned professionals seeking to na... more

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1. Dwarkesh Podcast
2. High Signal: Data Science | Career | AI
3. The a16z Show
4. Practical AI
5. Conversations with Tyler

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Vanishing Gradients launched 4 years ago and published 71 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Vanishing Gradients?

Recent guests on Vanishing Gradients include:

1. Samuel Colvin
2. Alex Strick van Linschoten
3. Eleanor Berger
4. Isaac Flaath
5. Eric Ma
6. Jeff Huber
7. Dr. Randall Olson
8. Bryan Bischof

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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