AI Safety Fundamentals: Alignment

83 Folgen

1. Constitutional AI Harmlessness from AI Feedback

   Vom: 19.7.2024
2. Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

   Vom: 19.7.2024
3. Illustrating Reinforcement Learning from Human Feedback (RLHF)

   Vom: 19.7.2024
4. Chinchilla’s Wild Implications

   Vom: 17.6.2024
5. Deep Double Descent

   Vom: 17.6.2024
6. Intro to Brain-Like-AGI Safety

   Vom: 17.6.2024
7. Eliciting Latent Knowledge

   Vom: 17.6.2024
8. Toy Models of Superposition

   Vom: 17.6.2024
9. Least-To-Most Prompting Enables Complex Reasoning in Large Language Models

   Vom: 17.6.2024
10. Discovering Latent Knowledge in Language Models Without Supervision

    Vom: 17.6.2024
11. ABS: Scanning Neural Networks for Back-Doors by Artificial Brain Stimulation

    Vom: 17.6.2024
12. Two-Turn Debate Doesn’t Help Humans Answer Hard Reading Comprehension Questions

    Vom: 17.6.2024
13. Imitative Generalisation (AKA ‘Learning the Prior’)

    Vom: 17.6.2024
14. An Investigation of Model-Free Planning

    Vom: 17.6.2024
15. Low-Stakes Alignment

    Vom: 17.6.2024
16. Gradient Hacking: Definitions and Examples

    Vom: 17.6.2024
17. Empirical Findings Generalize Surprisingly Far

    Vom: 17.6.2024
18. Compute Trends Across Three Eras of Machine Learning

    Vom: 13.6.2024
19. Worst-Case Thinking in AI Alignment

    Vom: 29.5.2024
20. Public by Default: How We Manage Information Visibility at Get on Board

    Vom: 12.5.2024