Episode description

Things to be aware of if you work on language model fine-tuning.
This is AI generated audio with Python and 11Labs.
Source code: https://github.com/natolambert/interconnects-tools
Original post: https://www.interconnects.ai/p/rlhf-roundup-2024

00:00 RLHF Roundup: Trying to get good at PPO, charting RLHF's impact, RewardBench retrospective, and a reward model competition
04:32 How big is the impact of RLHF relative to pretraining?
05:54 RewardBench retrospective after 100 models and 90% peak accuracy
09:19 LMSYS's reward modeling competition

Fig 1: https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/rlhf-roundup/img_009.png
Fig 2: https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/rlhf-roundup/img_012.png
Fig 3: https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/rlhf-roundup/img_017.png
Fig 4: https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/rlhf-roundup/img_026.png