Search a title or topic

Over 20 million podcasts, powered by 

Player FM logo
Artwork

Content provided by Mark Moyou, PhD and Mark Moyou. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mark Moyou, PhD and Mark Moyou or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Jacopo Tagliabue: Data Workloads, Recommender Systems, Startups and LLM Developments - AI Portfolio

1:40:11
 
Share
 

Manage episode 437345394 series 3596668
Content provided by Mark Moyou, PhD and Mark Moyou. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mark Moyou, PhD and Mark Moyou or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Jacopo Tagliabue is one of the most honest and talented open-source contributors in the Data Science community, previously focusing on NLP and Recommender Systems. Currently, he eats pizza, plays very occasional tennis, and is building a data pipeline company, Bauplan.
A true founder and builder at heart, Jacapo and team pioneered the movement for doing data science at reasonable scale. His NLP company Tooso, was acquired by Coveo where he led Data Science for search all the way to an IPO.
He
- has been educated at top institutions such as UNISR, SFI, and MIT
- has collaborated on open-source research with Stanford, Netflix, Farfetch, and NVIDIA
- has invested in startups and funds as an LP
- teaches machine learning at NYU as an adjunct professor
๐Ÿ“ฒ Jacopo Tagliabue Socials:
LinkedIn: https://www.linkedin.com/in/jacopotagliabue/ (don't try to sell him anything)
Twitter: https://twitter.com/jacopotagliabue
Website: https://jacopotagliabue.it/
๐Ÿ“ฒ Mark Moyou, PhD Socials:
LinkedIn: https://www.linkedin.com/in/markmoyou/
Twitter: https://twitter.com/MarkMoyou
๐Ÿ“— Chapters
00:00 Intro
03:34 LLM Progress
09:07 Small LLMs
11:38 Search and Information Retrieval
15:12 Recommender System
19:20 Robust Recommender System
22:37 Hardest Domain for Recommender System
24:54 Fake Datasets for Research
26:48 Mistakes in Building Recommender System
30:10 Building a Reasonable Recommender System
33:46 Reasonable Scale
38:17 What Bauplan is trying to accomplish?
44:41 Data Processing
50:05 Build Vs Buy
55:12 Building a New Startup
57:35 Tennis
58:31 Investments in ML Community
01:02:14 First Company
01:10:37 Advice for Founders/Lessons Learned from First Startup
01:15:03 PhD
01:18:39 Career Optimization Function
01:23:06 Advice for Open Source Contribution (Do the freaking commit!)
01:27:30 Journal for Failed Papers
01:29:53 Book Recommendations
01:34:00 Advice for High Schooler, College Student & Professional
01:36:10 Rapid Round

  continue reading

22 episodes

Artwork
iconShare
 
Manage episode 437345394 series 3596668
Content provided by Mark Moyou, PhD and Mark Moyou. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mark Moyou, PhD and Mark Moyou or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Jacopo Tagliabue is one of the most honest and talented open-source contributors in the Data Science community, previously focusing on NLP and Recommender Systems. Currently, he eats pizza, plays very occasional tennis, and is building a data pipeline company, Bauplan.
A true founder and builder at heart, Jacapo and team pioneered the movement for doing data science at reasonable scale. His NLP company Tooso, was acquired by Coveo where he led Data Science for search all the way to an IPO.
He
- has been educated at top institutions such as UNISR, SFI, and MIT
- has collaborated on open-source research with Stanford, Netflix, Farfetch, and NVIDIA
- has invested in startups and funds as an LP
- teaches machine learning at NYU as an adjunct professor
๐Ÿ“ฒ Jacopo Tagliabue Socials:
LinkedIn: https://www.linkedin.com/in/jacopotagliabue/ (don't try to sell him anything)
Twitter: https://twitter.com/jacopotagliabue
Website: https://jacopotagliabue.it/
๐Ÿ“ฒ Mark Moyou, PhD Socials:
LinkedIn: https://www.linkedin.com/in/markmoyou/
Twitter: https://twitter.com/MarkMoyou
๐Ÿ“— Chapters
00:00 Intro
03:34 LLM Progress
09:07 Small LLMs
11:38 Search and Information Retrieval
15:12 Recommender System
19:20 Robust Recommender System
22:37 Hardest Domain for Recommender System
24:54 Fake Datasets for Research
26:48 Mistakes in Building Recommender System
30:10 Building a Reasonable Recommender System
33:46 Reasonable Scale
38:17 What Bauplan is trying to accomplish?
44:41 Data Processing
50:05 Build Vs Buy
55:12 Building a New Startup
57:35 Tennis
58:31 Investments in ML Community
01:02:14 First Company
01:10:37 Advice for Founders/Lessons Learned from First Startup
01:15:03 PhD
01:18:39 Career Optimization Function
01:23:06 Advice for Open Source Contribution (Do the freaking commit!)
01:27:30 Journal for Failed Papers
01:29:53 Book Recommendations
01:34:00 Advice for High Schooler, College Student & Professional
01:36:10 Rapid Round

  continue reading

22 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play