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adaptive-data-analysis

The ladder mechanism for ml competitions 2025-05-04
Adaptive data analysis via subsampling 2025-05-05

ai-alignment

What is constitutional AI? 2025-05-03

ai-for-math

DeepSeek-Prover-V2 overview 2025-05-12

benchmarks

The ladder mechanism for ml competitions 2025-05-04

fine-tuning

All roads lead to likelihood: the value of reinforcement learning in fine-tuning 2025-05-07

half-baked

Weak baselines 2025-05-04

lean

DeepSeek-Prover-V2 overview 2025-05-12

optimization

Getting the hang of policy gradients by reframing optimization as RL 2025-05-08
Modded-NanoGPT Walkthrough I: initial setup, compiler config, and custom FP8 operations 2025-05-13

policy-gradient

Basic facts about policy gradients 2025-05-06
Getting the hang of policy gradients by reframing optimization as RL 2025-05-08

pytorch

Modded-NanoGPT Walkthrough I: initial setup, compiler config, and custom FP8 operations 2025-05-13

reinforcement-learning

Basic facts about policy gradients 2025-05-06
All roads lead to likelihood: the value of reinforcement learning in fine-tuning 2025-05-07
Getting the hang of policy gradients by reframing optimization as RL 2025-05-08
DeepSeek-Prover-V2 overview 2025-05-12

transformers

Multi head, multi query, and grouped query attention 2025-05-03
What is kv cache? 2025-05-03
Modded-NanoGPT Walkthrough I: initial setup, compiler config, and custom FP8 operations 2025-05-13