Azalia Mirhoseini
where else to find them
what they talk about
where they keep going back
no series more than once — all 3 in the filters
on a stage with
- Anil Ananthaswamyonce
- Anna Goldieonce
- Dileep Georgeonce
all 4 in the filters
who talks about the same things
nobody close enough yet
| title | conference | date |
|---|---|---|
| The Move Toward AGI: Why Large Language Models Surprised Almost Everyone... | Theoretically Speaking | The Future of Language Models and Transformers 2025 | 2025-03-31 |
Discussion gives concrete claims: scaling laws from 2020 reliably predict pretraining progress; in-context learning (zero/one/few-shot) emerges from next-token… | ||
| Inference Scaling: A New Frontier for AI Capability | The Future of Language Models and Transformers 2025 | 2025-03-31 |
Claims that repeated sampling produces predictable gains: coverage (pass@k) scales log-linearly with samples across four orders of magnitude and fits an… | ||
| Chip floorplanning with deep reinforcement learning | Google's Machine Learning Virtual Community Day 2021 | 2021-11-09 |
A deep reinforcement learning pipeline generates chip floorplans for Google TPUs that match or beat expert layouts and runs under six hours instead of weeks… | ||
| Keynote: ML for Systems and Chip Design | Ray Summit 2020 | 2020-09-30 |
Google Brain ML for Systems applies reinforcement learning and graph neural nets to real engineering tasks: device placement for neural nets, graph… | ||
| nothing matches | ||