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Compute Trends Across Three Eras of Machine Learning

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Manage episode 424744780 series 3498845
Content provided by BlueDot Impact. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by BlueDot Impact or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

This article explains key drivers of AI progress, explains how compute is calculated, as well as looks at how the amount of compute used to train AI models has increased significantly in recent years.

Original text: https://epochai.org/blog/compute-trends
Author(s): Jaime Sevilla, Lennart Heim, Anson Ho, Tamay Besiroglu, Marius Hobbhahn, Pablo Villalobos.

A podcast by BlueDot Impact.
Learn more on the AI Safety Fundamentals website.

  continue reading

Chapters

1. Compute Trends Across Three Eras of Machine Learning (00:00:00)

2. Introduction (00:02:11)

3. Methodology (00:04:26)

4. Results (00:07:46)

5. Implications and further work (00:12:13)

80 episodes

Artwork
iconShare
 
Manage episode 424744780 series 3498845
Content provided by BlueDot Impact. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by BlueDot Impact or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

This article explains key drivers of AI progress, explains how compute is calculated, as well as looks at how the amount of compute used to train AI models has increased significantly in recent years.

Original text: https://epochai.org/blog/compute-trends
Author(s): Jaime Sevilla, Lennart Heim, Anson Ho, Tamay Besiroglu, Marius Hobbhahn, Pablo Villalobos.

A podcast by BlueDot Impact.
Learn more on the AI Safety Fundamentals website.

  continue reading

Chapters

1. Compute Trends Across Three Eras of Machine Learning (00:00:00)

2. Introduction (00:02:11)

3. Methodology (00:04:26)

4. Results (00:07:46)

5. Implications and further work (00:12:13)

80 episodes

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