Sample Space

by probabl

Season 1

Time for some (extreme) distillation with Thomas van Dongen - founder of the Minish Lab

Word embeddings might feel like they are a little bit out of fashion. After all, we have attention mechanisms and transformer models now, right? Well, it turns out that if you apply distillation the right way you can actually get highly performant word embeddings out. It's a technique featured by the model2vec project from the Minish lab and in this episode we talk to the founder to learn more about the technique. We have a Discord these days, feel free to discuss the podcast with us there! https://discord.probabl.ai This podcast is part of the open efforts over at probabl. To learn more you can check out website or reach out to us on social media. Website: https://probabl.ai/ Bluesky: https://bsky.app/profile/probabl.bsky.social LinkedIn: https://www.linkedin.com/company/probabl Twitter: https://x.com/probabl_ai #probabl

S1 · E13

Jan 15, 2025

49:21

Imbalanced learn: regrets and onwards - with Guillaume Lemaitre, maintainer

Imbalanced learn is one of the most popular scikit-learn projects out there. It has support for resampling techniques which historically have always been used for imbalanced classification use-cases. However, now that we are a few years down the line, it may be time to start rethinking the library. As it turns out, other techniques may be preferable. We talk to the maintainer, Guillaume Lemaitre, to discuss the lessons that have been learned over the last decade. We have a Discord these days, feel free to discuss the podcast with us there! https://discord.probabl.ai This podcast is part of the open efforts over at probabl. To learn more you can check out website or reach out to us on social media. Website: https://probabl.ai/ Bluesky: https://bsky.app/profile/probabl.bsky.social LinkedIn: https://www.linkedin.com/company/probabl Twitter: https://x.com/probabl_ai

S1 · E12

Dec 6, 2024

54:06

You want to be in control of your own Copilot - with Ty Dunn, co-founder at Continue.dev

There are many LLMs that you can use for programming these days. Some of them even go into your IDE like Cursor or Github Copilot. But what if you want to tweak these LLMs do to what you want? Instead of being stuck with the tools that a vendor gives you, the goal of Continue.dev is to allow you to customise this yourself. In this podcast we talk to Ty Dunn, co-founder of the project to learn more about this. If you are curious to learn more about this effort, please check out https://continue.dev. You may always want to read the manifesto over at https://amplified.dev/. We have a Discord these days, feel free to discuss the podcast with us there! https://discord.probabl.ai This podcast is part of the open efforts over at probabl. To learn more you can check out website or reach out to us on social media. Website: https://probabl.ai/ Bluesky: https://bsky.app/profile/probabl.bsky.social LinkedIn: https://www.linkedin.com/company/probabl Twitter: https://x.com/probabl_ai

S1 · E11

Nov 6, 2024

1:07:16

What it is like to maintain the scikit-learn docs - with David Arturo Amor Quiroz, scikit-learn docs maintainer

Scikit-learn's documentation pages are celebrated. But not everyone is aware that the project actually has somebody on payroll to take care of it. In this episode we talk to Arturo about stories from the scikit-learn documentation. In particular, the docs have a recommender that few folks are aware of. People just assume that it is manually curated, but there are a few base scikit-learn tools under the hood there. Link to the official scikit-learn MOOC: https://inria.github.io/scikit-learn-mooc/ We have a Discord these days, feel free to discuss the podcast with us there! https://discord.probabl.ai You can follow the podcast on most podcast players including apple podcasts, spotify and rss.com. - https://podcasts.apple.com/us/podcast/sample-space/id1739598572 - https://open.spotify.com/show/0BnwEHuyOlHgeZfselpn1n - https://rss.com/podcasts/sample-space/ This podcast is part of the open efforts over at probabl. To learn more you can check out website or reach out to us on social media. Website: https://probabl.ai/ Bluesky: https://bsky.app/profile/probabl.bsky.social LinkedIn: https://www.linkedin.com/company/probabl Twitter: https://x.com/probabl_ai

S1 · E10

Oct 31, 2024

55:01

How Narwhals has many end users ... that never use it directly with Marco Gorelli

When you pip install a package you will for sure end up using it later. But often you will also install a bunch of dependencies and it is very likely that you won't directly interact with all of them. That does not mean that such a package is not useful, it merely means that the package might be directly used by a maintainer instead. This is interesting, because recently one such tool came into existence. It is called Narwhals and it seems to be on track to become critical infrastructure for data science projects. We have the maintainer of Narwhals on the show this week to talk about it. To learn more about Narwhals, you can check the repository here: https://github.com/narwhals-dev/narwhals This podcast is part of the open efforts over at probabl. To learn more you can check out website or reach out to us on social media. Website: https://probabl.ai/ LinkedIn: https://www.linkedin.com/company/probabl Twitter: https://x.com/probabl_ai

S1 · E6

Aug 21, 2024

1:00:53

Pragmatic data science checklists with Peter Bull - cofounder Drivendata

A lot of things can (and have) gone wrong when folks tried to apply data science projects. So how might we prevent that? Maybe what we need to do is to look at the medical profession and their practice of checklists before surgery.

S1 · E5

Jul 17, 2024

1:05:38

Model safety, that's a pickle! with Adrin Jalali - scikit-learn maintainer

Historically it's always been the case that you would use a pickle file to store a trained scikit-learn model on disk for deployment. Pickles make sense because these are so flexible, but they do carry a security concern. Adrin has been working on a remedy called skops, which is the main topic of this podcast. To learn more about skops, make sure to check the documentation: https://skops.readthedocs.io/en/stable/

S1 · E4

Jun 27, 2024

1:01:47

1 of 2

Sample Space

Time for some (extreme) distillation with Thomas van Dongen - founder of the Minish Lab

Imbalanced learn: regrets and onwards - with Guillaume Lemaitre, maintainer

You want to be in control of your own Copilot - with Ty Dunn, co-founder at Continue.dev

What it is like to maintain the scikit-learn docs - with David Arturo Amor Quiroz, scikit-learn docs maintainer

Sqlite can totally do embeddings now - with Alex Garcia, sqlite-vec maintainer

How to rethink the notebook - with Akshay Agrawal, co-creator of Marimo

You are always dealing with many tables - with Madelon Hulsebos

How Narwhals has many end users ... that never use it directly with Marco Gorelli

Pragmatic data science checklists with Peter Bull - cofounder Drivendata

Model safety, that's a pickle! with Adrin Jalali - scikit-learn maintainer