Bibliography:

1. ​ $2024

2. ​ A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

3. ​ Attention Is All You Need

4. ​ Dataset Distillation

5. ​ An Empirical Model of Large-Batch Training

6. ​ Beyond AI for Wafer Scale Compute: Setting Records in Computational Fluid Dynamics

7. ​ Introducing Cerebras Inference: AI at Instant Speed

8. ​ 12 Hours Later, Groq Deploys Llama-3-Instruct (8 & 70B)

9. ​ Etched Is Making the Biggest Bet in AI

10. ​ $2022

11. ​ Pipelined Backpropagation at Scale: Training Large Models without Batches

12. Wikipedia Bibliography:

    1. ​ AMD

    2. ​ Nvidia

    3. ​ https://en.wikipedia.org/wiki/Shared-nothing

    4. ​ https://en.wikipedia.org/wiki/SETI%40home

    5. ​ Diminishing Returns

    6. ​ Expected Value

    7. ​ Large Language Model

    8. ​ Stochastic Gradient Descent

    9. ​ Recurrent Neural Network

    10. ​ Backpropagation through Time

    11. ​ Active Learning (machine Learning)

    12. ​ https://en.wikipedia.org/wiki/Supercomputing

    13. ​ https://en.wikipedia.org/wiki/Groq

    14. ​ Cerebras

    15. ​ Opportunity Cost

    16. ​ https://en.wikipedia.org/wiki/Tenstorrent