The Impact of Machine Learning on Material Innovation and Scientific Progress

The Impact of Machine Learning on Material Innovation and Scientific Progress

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Measuring The Quality Of LLMs

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4 of 18

Measuring The Quality Of LLMs

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The Impact of Machine Learning on Material Innovation and Scientific Progress

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  1. 1 Intro
  2. 2 Joe is Back at Meta
  3. 3 What Does Meta Get Out Of Putting Out LLMs?
  4. 4 Measuring The Quality Of LLMs
  5. 5 How Do You Pick The Sizes Of Models
  6. 6 Advice On Choosing Which Model To Start With
  7. 7 The Secret Sauce In The Training
  8. 8 What Is Being Worked On Now
  9. 9 The Safety Mechanisms In Llama 2
  10. 10 The Datasets Llama 2 Is Trained On
  11. 11 On Multilingual Capabilities & Tone
  12. 12 On The Biggest Applications Of Llama 2
  13. 13 On Why The Best Teams Are Built By Users
  14. 14 The Culture Differences Of Meta vs Open Source
  15. 15 The AI Learning Alliance
  16. 16 Where To Learn About Machine Learning
  17. 17 Why AI For Science Is Under-rated
  18. 18 What Are The Biggest Issues With Real-World Applications

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