Видео ютуба по тегу Human Preferences

Sanmi Koyejo (Stanford University): Human Preferences in AI
Sanmi Koyejo (Stanford University): Human Preferences in AI
Stanford CS329H: Machine Learning from Human Preferences | Autumn 2024 | Introduction
Stanford CS329H: Machine Learning from Human Preferences | Autumn 2024 | Introduction
Tomek Korbak - RLHF as conditioning on human preferences | ML in PL 2024
Tomek Korbak - RLHF as conditioning on human preferences | ML in PL 2024
Deep Reinforcement Learning From Human Preferences in tensorflow
Deep Reinforcement Learning From Human Preferences in tensorflow
002.1 Stuart Russell - How do we infer human preferences in AI?
002.1 Stuart Russell - How do we infer human preferences in AI?
mimics - discover human preferences using synthetic personas
mimics - discover human preferences using synthetic personas
IICCSSS 2022 - Ethan Perez: Aligning Language Models with Human Preferences
IICCSSS 2022 - Ethan Perez: Aligning Language Models with Human Preferences
Two-Stage Clustering of Human Preferences for Action Prediction in Assembly Tasks
Two-Stage Clustering of Human Preferences for Action Prediction in Assembly Tasks
Stanford CS329H: ML from Human Preferences | Autumn 2024 | Model-based Preference Optimization
Stanford CS329H: ML from Human Preferences | Autumn 2024 | Model-based Preference Optimization
Stanford CS329H: Machine Learning from Human Preferences | Autumn 2024 | Preference Models
Stanford CS329H: Machine Learning from Human Preferences | Autumn 2024 | Preference Models
Calibrated LLM Autoraters for Human Preferences
Calibrated LLM Autoraters for Human Preferences
Deep Learning From Human Preferences | Two Minute Papers #196
Deep Learning From Human Preferences | Two Minute Papers #196
Deep Reinforcement Learning from Human Preferences
Deep Reinforcement Learning from Human Preferences
Belinda Li -
Belinda Li - "Eliciting Human Preferences with Language Models"
RL agents Implicitly Learning Human Preferences
RL agents Implicitly Learning Human Preferences
The Power of an Unbiased AI Government Optimizing Human Preferences
The Power of an Unbiased AI Government Optimizing Human Preferences
Towards Transferring Human Preferences from Canonical to Actual Assembly Tasks | ROMAN 2022
Towards Transferring Human Preferences from Canonical to Actual Assembly Tasks | ROMAN 2022
Stanford CS329H: Machine Learning from Human Preferences | Autumn 2024 | Human-centered Design
Stanford CS329H: Machine Learning from Human Preferences | Autumn 2024 | Human-centered Design
Plenary Talk: Aligning Task Utility and Human Preferences through LLM-Guided Reward Shaping
Plenary Talk: Aligning Task Utility and Human Preferences through LLM-Guided Reward Shaping
Robot Learns Human Preferences by Observing them Perform a Canonical Task
Robot Learns Human Preferences by Observing them Perform a Canonical Task
Stanford CS329H: Machine Learning from Human Preferences | Autumn 2024 | Ethics
Stanford CS329H: Machine Learning from Human Preferences | Autumn 2024 | Ethics
The Algorithms of Human Preference | Dan Phillips | TEDxVienna
The Algorithms of Human Preference | Dan Phillips | TEDxVienna
Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences
Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences
Stanford CS329H: Machine Learning from Human Preferences | Autumn 2024 | Voting
Stanford CS329H: Machine Learning from Human Preferences | Autumn 2024 | Voting