We show that synthetic data (e.g., LLM simulations) can significantly improve the performance of inference tasks. The key intuition lies in the interactions between the moment residuals of synthetic data and those of real data
We show that synthetic data (e.g., LLM simulations) can significantly improve the performance of inference tasks. The key intuition lies in the interactions between the moment residuals of synthetic data and those of real data
• opposing team gets 1 FT
• & keeps possession w fresh 24
Next up, Israel/Palestine.
• opposing team gets 1 FT
• & keeps possession w fresh 24
Next up, Israel/Palestine.
Mosaic models underwrite $1B until boom mothballed.
Deepseek turns world upside down, but only for 5min.
The speed at which the winds turn here is truly wild.
Mosaic models underwrite $1B until boom mothballed.
Deepseek turns world upside down, but only for 5min.
The speed at which the winds turn here is truly wild.
www.theinformation.com/articles/thi...
www.theinformation.com/articles/thi...
www.theinformation.com/articles/thi...
1. A technical founder who never wanted to manage, now an IC engineer
2. A VP of Engineering
3. Leading all of EPD (+AI)
4. An influencer with no internal responsibilities
1. A technical founder who never wanted to manage, now an IC engineer
2. A VP of Engineering
3. Leading all of EPD (+AI)
4. An influencer with no internal responsibilities
Learn more about the most influential leaders in healthcare here: www.modernhealthcare.com/awards/zack-... @zacharylipton.bsky.social
Phase 2: "AI" = rebranding of the successful subset of ML.
Phase 3: AI & ML truly starting to diverge.
Phase 2: "AI" = rebranding of the successful subset of ML.
Phase 3: AI & ML truly starting to diverge.
Our Personalized-RLHF work:
- light-weight user model
- personalize all *PO alignment algorithms
- strong performance on the largest personalized preference dataset
arxiv.org/abs/2402.05133
Our Personalized-RLHF work:
- light-weight user model
- personalize all *PO alignment algorithms
- strong performance on the largest personalized preference dataset
arxiv.org/abs/2402.05133
@zacharylipton.bsky.social @adamjelley.bsky.social @random-steve.bsky.social
@zacharylipton.bsky.social @adamjelley.bsky.social @random-steve.bsky.social