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Can We Scale Human Feedback for Complex AI Tasks?
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Manage episode 424744799 series 3498845
Reinforcement learning from human feedback (RLHF) has emerged as a powerful technique for steering large language models (LLMs) toward desired behaviours. However, relying on simple human feedback doesn’t work for tasks that are too complex for humans to accurately judge at the scale needed to train AI models. Scalable oversight techniques attempt to address this by increasing the abilities of humans to give feedback on complex tasks.
This article briefly recaps some of the challenges faced with human feedback, and introduces the approaches to scalable oversight covered in session 4 of our AI Alignment course.
Source:
https://aisafetyfundamentals.com/blog/scalable-oversight-intro/
Narrated for AI Safety Fundamentals by Perrin Walker
A podcast by BlueDot Impact.
Learn more on the AI Safety Fundamentals website.
Kapitler
1. Can We Scale Human Feedback for Complex AI Tasks? (00:00:00)
2. Why do we need better human feedback? (00:00:51)
3. What is scalable oversight? (00:02:44)
4. Why might scalable oversight not work? (00:18:24)
85 episoder
Fetch error
Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on January 02, 2025 12:05 (
What now? This series will be checked again in the next hour. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 424744799 series 3498845
Reinforcement learning from human feedback (RLHF) has emerged as a powerful technique for steering large language models (LLMs) toward desired behaviours. However, relying on simple human feedback doesn’t work for tasks that are too complex for humans to accurately judge at the scale needed to train AI models. Scalable oversight techniques attempt to address this by increasing the abilities of humans to give feedback on complex tasks.
This article briefly recaps some of the challenges faced with human feedback, and introduces the approaches to scalable oversight covered in session 4 of our AI Alignment course.
Source:
https://aisafetyfundamentals.com/blog/scalable-oversight-intro/
Narrated for AI Safety Fundamentals by Perrin Walker
A podcast by BlueDot Impact.
Learn more on the AI Safety Fundamentals website.
Kapitler
1. Can We Scale Human Feedback for Complex AI Tasks? (00:00:00)
2. Why do we need better human feedback? (00:00:51)
3. What is scalable oversight? (00:02:44)
4. Why might scalable oversight not work? (00:18:24)
85 episoder
Alle episoder
×1 Introduction to Mechanistic Interpretability 11:45
1 Illustrating Reinforcement Learning from Human Feedback (RLHF) 22:32
1 Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback 32:19
1 Constitutional AI Harmlessness from AI Feedback 1:01:49
1 Empirical Findings Generalize Surprisingly Far 11:32
1 Two-Turn Debate Doesn’t Help Humans Answer Hard Reading Comprehension Questions 16:39
1 Least-To-Most Prompting Enables Complex Reasoning in Large Language Models 16:08
1 ABS: Scanning Neural Networks for Back-Doors by Artificial Brain Stimulation 16:08
1 Imitative Generalisation (AKA ‘Learning the Prior’) 18:14
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