Towards high-quality (maybe synthetic) datasets

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:
• Ben Burtenshaw – GitHub (github.com/burtenshaw), LinkedIn (linkedin.com/in/ben-burtenshaw), X (x.com/ben_burtenshaw)
• David Berenstein – GitHub (github.com/davidberenstein1957), LinkedIn (linkedin.com/in/davidberenstein), X (x.com/davidberenstei)
• Chris Benson – Website (chrisbenson.com), GitHub (github.com/chrisbenson), LinkedIn (linkedin.com/in/chrisbenson), X (x.com/chrisbenson)
• Daniel Whitenack – Website (datadan.io), GitHub (github.com/dwhitena), X (x.com/dwhitena)
Show Notes:
• Argilla (docs.argilla.io/latest)
• Distilabel (distilabel.argilla.io/latest)
• Synthetic Data Generator UI (huggingface.co/spaces/argilla/synthetic-data-g…)
• Hugging Face and Argilla meetups (lu.ma/argilla-event-calendar)
Upcoming Events:
• Register for upcoming webinars here (practicalai.fm/webinars)!