Experiment Tracking for RLHF Runs With Weights and Biases
Track RLHF experiments across three stages to catch failures before they compound downstream.
Marta Wierzbicka
Section
RLHF Tooling
5 stories in RLHF Tooling.
Reward Model Serving Latency in Online RL Training Loops
Faster reward scoring is worth nothing if it tanks the quality of training signals.
Anjali Raghunathan
Annotation Platform Selection for Preference Data Collection
How to choose a platform that captures the actual quality of preference data.
Devon Achterberg
Distributed Rollout Generation for Large-Scale PPO Training
Decoupling rollout generation from training eliminates PPO's sequential bottleneck.
Anjali Raghunathan
TRL Library Architecture for RLHF Practitioners
Understanding TRL's stable and experimental trainer boundaries unlocks RLHF at scale.
Devon Achterberg