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Towards high-quality (maybe synthetic) datasets

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Content provided by Changelog Media. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Changelog Media 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://ro.player.fm/legal.

As Argilla puts it: “Data quality is what makes or breaks AI.” However, what exactly does this mean and how can AI team probably collaborate with domain experts towards improved data quality? David Berenstein & Ben Burtenshaw, who are building Argilla & Distilabel at Hugging Face, join us to dig into these topics along with synthetic data generation & AI-generated labeling / feedback.

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Featuring:

Show Notes:

Something missing or broken? PRs welcome!

  continue reading

Capitole

1. Welcome to Practical AI (00:00:00)

2. Sponsor: Fly (00:00:44)

3. What does data collaboration mean? (00:03:56)

4. Understanding your data (00:07:18)

5. How to start curating data (00:09:58)

6. Practical steps to scale (00:13:12)

7. Sponsor: WorkOS (00:16:52)

8. Traditional & new usecases (00:20:23)

9. Virtues of smaller models (00:24:51)

10. What Argilla looks like (00:27:04)

11. User backgrounds (00:30:55)

12. The non-technical POV (00:34:21)

13. Sponsor: Eight Sleep (00:38:23)

14. AI feedback (00:41:09)

15. Hallucination issues (00:44:50)

16. What is Distilabel (00:46:10)

17. Usage & adoption (00:50:08)

18. Where things are going (00:52:55)

19. This is muy bueno (00:55:34)

20. Outro (00:56:15)

300 episoade

Artwork
iconDistribuie
 
Manage episode 444356710 series 2385063
Content provided by Changelog Media. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Changelog Media 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://ro.player.fm/legal.

As Argilla puts it: “Data quality is what makes or breaks AI.” However, what exactly does this mean and how can AI team probably collaborate with domain experts towards improved data quality? David Berenstein & Ben Burtenshaw, who are building Argilla & Distilabel at Hugging Face, join us to dig into these topics along with synthetic data generation & AI-generated labeling / feedback.

Join the discussion

Changelog++ members save 11 minutes on this episode because they made the ads disappear. Join today!

Sponsors:

  • Fly.ioThe home of Changelog.com — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. Check out the speedrun to get started in minutes.
  • WorkOSA platform that gives developers a set of building blocks for quickly adding enterprise-ready features to their application. Add Single Sign-On (Okta, Azure, Google, Microsoft OAuth), sync users from any SCIM directory, HRIS integration, audit trails (SIEM), free magic link sign-in. WorkOS is designed for developers and offers a single, elegant interface that abstracts dozens of enterprise integrations. Learn more and get started at WorkOS.com
  • Eight SleepTake your sleep and recovery to the next level. Go to eightsleep.com/PRACTICALAI and use the code PRACTICALAI to get $350 off your very own Pod 4 Ultra. You can try it for free for 30 days - but we’re confident you will not want to return it. Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia.

Featuring:

Show Notes:

Something missing or broken? PRs welcome!

  continue reading

Capitole

1. Welcome to Practical AI (00:00:00)

2. Sponsor: Fly (00:00:44)

3. What does data collaboration mean? (00:03:56)

4. Understanding your data (00:07:18)

5. How to start curating data (00:09:58)

6. Practical steps to scale (00:13:12)

7. Sponsor: WorkOS (00:16:52)

8. Traditional & new usecases (00:20:23)

9. Virtues of smaller models (00:24:51)

10. What Argilla looks like (00:27:04)

11. User backgrounds (00:30:55)

12. The non-technical POV (00:34:21)

13. Sponsor: Eight Sleep (00:38:23)

14. AI feedback (00:41:09)

15. Hallucination issues (00:44:50)

16. What is Distilabel (00:46:10)

17. Usage & adoption (00:50:08)

18. Where things are going (00:52:55)

19. This is muy bueno (00:55:34)

20. Outro (00:56:15)

300 episoade

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