Bibliography:

1. ​ https://openai.com/blog/chatgpt/

2. ​ https://www.reddit.com/r/mlscaling/comments/1g9r65z/introducing_computer_use_a_new_claude_35_sonnet/lt89drx/

3. ​ https://www.reddit.com/r/slatestarcodex/comments/1gsv897/gwern_on_the_diminishing_returns_to_scaling_and/

4. ​ https://www.reddit.com/r/mlscaling/comments/1gswayg/gwern_on_the_diminishing_returns_to_scaling_and/

5. ​ Machine Learning Scaling

6. ​ https://openai.com/index/gpt-4-research/

7. ​ Language Models are Unsupervised Multitask Learners

8. ​ GPT-3: Language Models are Few-Shot Learners

9. ​ GPQA: A Graduate-Level Google-Proof Q&A Benchmark

10. ​ Chinchilla: Training Compute-Optimal Large Language Models

11. ​ $2024

12. ​ Scaling Laws for Neural Language Models

13. Wikipedia Bibliography:

    1. ​ Scott Sumner

    2. ​ Large Language Model

    3. ​ Diminishing Returns

    4. ​ Power Law

    5. ​ Common Crawl