π¨ This Wednesday at DFAI seminar: Training Data Attribution as Explanations: Insights from User Studies by Elisa Nguyen!
ποΈ May 13, 2026
π 3 PM UTC | 11 AM ET
Don't miss it! π₯
π¨ This Tuesday at DFAI seminar: Understanding Rollout Staleness & Selectivity for Efficient RL by Haizhong Zheng (@haizhong_zheng) on how to mitigate the rollout-side inefficiency!
ποΈ April 21, 2026
π 6 PM UTC | 2 PM ET
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π¨ This Friday at DFAI seminar: The Brittleness of AI Alignment β A Data & Rules Perspective
Luxi (Lucy) He (@LuxiHeLucy) on how benign data and well-intentioned rules can break alignment!
ποΈ April 10, 2026
π 7 PM UTC | 2 PM ET
Don't miss it! π₯
π¨ This Friday at DFAI seminar: The Brittleness of AI Alignment β A Data & Rules Perspective
Luxi (Lucy) He (@LuxiHeLucy) on how benign data and well-intentioned rules can break alignment!
ποΈ April 10, 2026
π 7 PM UTC | 2 PM ET
Don't miss it! π₯
π Our second talk from the Data Foundations of AI (DFAI) seminar series is now live!
π€ Watch it here: https://t.co/39EaT4GYcL
π Learn more about the community: https://t.co/p7tCcPJaUK
π¨ Next Tuesday at DFAI seminar: Olmix β A Framework for Data Mixing Throughout LM Development
Mayee Chen (@MayeeChen) on data mixing for real-world LM training!
ποΈ Mar 24, 2026
π 6 PM UTC | 2 PM ET
Don't miss it! π₯
π¨ Next Tuesday at DFAI seminar: Olmix β A Framework for Data Mixing Throughout LM Development
Mayee Chen (@MayeeChen) on data mixing for real-world LM training!
ποΈ Mar 24, 2026
π 6 PM UTC | 2 PM ET
Don't miss it! π₯
π¨ Next Tuesday at DFAI seminar: Olmix β A Framework for Data Mixing Throughout LM Development
Mayee Chen (@MayeeChen) on data mixing for real-world LM training!
ποΈ Mar 24, 2026
π 6 PM UTC | 2 PM ET
Don't miss it! π₯
π Our second talk from the Data Foundations of AI (DFAI) seminar series is now live!
π€ Watch it here: https://t.co/v8OrKlKZfC
π Learn more about the community: https://t.co/p7tCcPJaUK
π¨ Next Tuesday at DFAI seminar: Compute Optimal Scaling of Skills β Knowledge vs Reasoning
Nicholas Roberts (@nick11roberts) on skill-dependent scaling laws!
ποΈ Mar 10, 2026
π 7 PM UTC | 2 PM ET
Don't miss it! π₯
ποΈReminder: This is happening tomorrow! Please save, share, and join us for this exciting talk
βΌοΈNote: Due to daylight saving, it's now 6 PM UTC!!
π¨ Next Tuesday at DFAI seminar: Compute Optimal Scaling of Skills β Knowledge vs Reasoning
Nicholas Roberts (@nick11roberts) on skill-dependent scaling laws!
ποΈ Mar 10, 2026
π 7 PM UTC | 2 PM ET
Don't miss it! π₯
π Our first talk from the Data Foundations of AI (DFAI) seminar series is now live!
π€ Watch it here: https://t.co/k2nhKctUjX
π Learn more about the community:
https://t.co/CQFjwzoJFM
π¨ Next Tuesday at DFAI seminar: More Fruitful SFT by Respecting The Learnerβs Distribution
Dylan Zhang (@dylan_works_) onπ GRAPE & πPEAR β policy-aware SFT that aligns supervision with the learnerβs distribution.
ποΈ Mar 3, 2026
π 7 PM UTC | 2 PM ET
Donβt miss it! π₯
π¨ Next Tuesday at DFAI seminar: Compute Optimal Scaling of Skills β Knowledge vs Reasoning
Nicholas Roberts (@nick11roberts) on skill-dependent scaling laws!
ποΈ Mar 10, 2026
π 7 PM UTC | 2 PM ET
Don't miss it! π₯
π¨ Next Tuesday at DFAI seminar: More Fruitful SFT by Respecting The Learnerβs Distribution
Dylan Zhang (@dylan_works_) onπ GRAPE & πPEAR β policy-aware SFT that aligns supervision with the learnerβs distribution.
ποΈ Mar 3, 2026
π 7 PM UTC | 2 PM ET
Donβt miss it! π₯
π¨ Next Tuesday at DFAI seminar: More Fruitful SFT by Respecting The Learnerβs Distribution
Dylan Zhang (@dylan_works_) onπ GRAPE & πPEAR β policy-aware SFT that aligns supervision with the learnerβs distribution.
ποΈ Mar 3, 2026
π 7 PM UTC | 2 PM ET
Donβt miss it! π₯