RHf / RLHF
Type: Concept
As of November 2026, RHf / RLHF has been mentioned in one podcast episode on Lenny's Podcast (Dec 2025). Referenced as dominant post-training approach (reinforcement learning/human feedback) in model development history.
In machine learning, reinforcement learning from human feedback (RLHF) is a technique to align an intelligent agent with human preferences. It involves training a reward model to represent preferences, which can then be used to train other models through reinforcement learning.
| Mentioned in | 1 episode on 1 podcast (as of November 2026) |
|---|---|
| First heard | Dec 2025 on Lenny's Podcast |
| Field | Machine Learning |
Who talks about RHf / RLHF on podcasts?
RHf / RLHF came up; the most recent mention was Dec 2025 on Lenny's Podcast.