World Model · podcast knowledge graph

RLHF person

10 mentions · across 5 shows · also seen as concept

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.

https://en.wikipedia.org/wiki/Reinforcement_learning_from_human_feedback

Relationship map

Connections 9

mentioned 7

references 2

Heard in

Mentioned in episodes

All extracted evidence for this entity (9)
description:link E167: Nvidia smashes earnings (again), Google's Woke AI disa
Link in episode "E167: Nvidia smashes earnings (again), Google's Woke AI disaster, Groq's LPU breakthrough & more": https://en.wikipedia.org/wiki/Reinforcement_learning_from_human_feedback
description:link Anthropic co-founder on quitting OpenAI, AGI predictions, $1
Link in episode "Anthropic co-founder on quitting OpenAI, AGI predictions, $100M talent wars, 20% unemployment, and the nightmare scenarios keeping him up at night | Ben Mann": https://en.wikipedia.org/wiki/Reinforcement_learning_from_human_feedback
description:link E167: Nvidia smashes earnings (again), Google's Woke AI disa
Link in episode "E167: Nvidia smashes earnings (again), Google's Woke AI disaster, Groq's LPU breakthrough & more": https://en.wikipedia.org/wiki/Reinforcement_learning_from_human_feedback
description:link Anthropic co-founder on quitting OpenAI, AGI predictions, $1
Link in episode "Anthropic co-founder on quitting OpenAI, AGI predictions, $100M talent wars, 20% unemployment, and the nightmare scenarios keeping him up at night | Ben Mann": https://en.wikipedia.org/wiki/Reinforcement_learning_from_human_feedback