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Towards high-quality (maybe synthetic) datasets
Manage episode 444356710 series 2385063
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.
Changelog++ members save 11 minutes on this episode because they made the ads disappear. Join today!
Sponsors:
- Fly.io – The 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.
- WorkOS – A 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 Sleep – Take 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:
- Ben Burtenshaw – Twitter, GitHub, LinkedIn
- David Berenstein – Twitter, GitHub, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? PRs welcome!
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
Manage episode 444356710 series 2385063
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.
Changelog++ members save 11 minutes on this episode because they made the ads disappear. Join today!
Sponsors:
- Fly.io – The 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.
- WorkOS – A 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 Sleep – Take 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:
- Ben Burtenshaw – Twitter, GitHub, LinkedIn
- David Berenstein – Twitter, GitHub, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? PRs welcome!
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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