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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
Pre-Training
Scikit-Learn
Open Source Collaboration
Fast.ai
Data Management
Statistical Thinking
Covid-19
Open Source
Developer Tools
Conversational AI
Data Journalism

A podcast about all things data & AI, brought to you by AI builder, consultant, and educator Hugo Bowne-Anderson. It's time for more critical conversations about the challenges in our industry in order to build better compasses for the solution space! To this end, this podcast will consist of long-format conversations between Hugo and other people who work broadly in the data science, machine lear... more

PublishesTwice monthlyEpisodes65Founded4 years ago
Number of ListenersCategories
ScienceTechnology

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Latest Episodes

We’re really moving from a world where humans are authoring search queries and humans are executing those queries and humans are digesting the results to a world where AI is doing that for us.

Jeff Huber, CEO and co-founder of Chroma, joins Hugo to ... more

We have been sold a story of complexity. Michael Kennedy (Talk Python) argues we can escape this by relentlessly focusing on the problem at hand, reducing costs by orders of magnitude in software, data, and AI.

In this episode, Michael joins Hugo to ... more

Gemini 3 is a few days old and the massive leap in performance and model reasoning has big implications for builders: as models begin to self-heal, builders are literally tearing out the functionality they built just months ago... ripping out the def... more

Many leaders are trapped between chasing ambitious, ill-defined AI projects and the paralysis of not knowing where to start. Dr. Randall Olson argues that the real opportunity isn't in moonshots, but in the "trillions of dollars of business value" av... more

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Recent Guests

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
Alex Strick van Linschoten
Machine learning engineer at Zen ML
Zen ML
Episode: Episode 61: The AI Agent Reliability Cliff: What Happens When Tools Fail in Production
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
Thomas Wiecki
Founder of PyMC Labs and co-author of PyMC
PyMC Labs
Episode: Episode 58: Building GenAI Systems That Make Business Decisions with Thomas Wiecki (PyMC Labs)
Shreya Shankar
PhD candidate in human-centered data management systems at UC Berkeley, with prior experience in ML engineering at major tech companies.
UC Berkeley
Episode: Episode 57: AI Agents and LLM Judges at Scale: Processing Millions of Documents (Without Breaking the Bank)
Zach Mueller
Technical Lead at Hugging Face, working on the Accelerate Framework and Transformer Trainer API.
Hugging Face
Episode: Episode 54: Scaling AI: From Colab to Clusters — A Practitioner’s Guide to Distributed Training and Inference
Samuel Colvin
Creator of Pydantic and founder of Logfire
Logfire
Episode: Episode 53: Human-Seeded Evals & Self-Tuning Agents: Samuel Colvin on Shipping Reliable LLMs
Eric Ma
Leads research data science in the data science and AI group at Moderna Therapeutics
Moderna Therapeutics
Episode: Episode 52: Why Most LLM Products Break at Retrieval (And How to Fix Them)

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 41 ratings
  • 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 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.
Episode 64: Data Science Meets Agentic AI with Michael Kennedy (Talk Python)
Q: Can you tell us about your book?
I wrote a book called Talk Python In Production, which conveys how to simplify the deployment of Python systems.
Episode 61: The AI Agent Reliability Cliff: What Happens When Tools Fail in Production
Q: Can you help me mind-meld these seemingly contradictory aspects of agent adoption and unreliability?
The growth in agent adoption is fueled by financial investments despite their unpredictability, suggesting a gap between marketing and operational realities.
Episode 61: The AI Agent Reliability Cliff: What Happens When Tools Fail in Production
Q: What are two to three lessons that jump off the page for you with respect to agents currently?
Keep things as simple as possible, track your application for failure modes, and ensure high-quality data for your LLM calls.
Episode 60: 10 Things I Hate About AI Evals with Hamel Husain
Q: What should teams prioritize when starting evaluations?
Begin with error analysis to inform what to prioritize and what evaluations to write.

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. Talk Python To Me
2. Machine Learning Street Talk (MLST)
3. Super Data Science: ML & AI Podcast with Jon Krohn
4. AI + a16z
5. No Priors: Artificial Intelligence | Technology | Startups

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Vanishing Gradients launched 4 years ago and published 65 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. Dr. Randall Olson
2. Alex Strick van Linschoten
3. Bryan Bischof
4. John Berryman
5. Thomas Wiecki
6. Shreya Shankar
7. Zach Mueller
8. Samuel Colvin

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