AI for Good - Detecting Harmful Content at Scale

AI for Good - Detecting Harmful Content at Scale

MLOps.community via YouTube Direct link

[] Matar's preferred coffee

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1 of 20

[] Matar's preferred coffee

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AI for Good - Detecting Harmful Content at Scale

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  1. 1 [] Matar's preferred coffee
  2. 2 [] Takeaways
  3. 3 [] The talk that stood out
  4. 4 [] Online hate speech challenges
  5. 5 [] Evaluate harmful media API
  6. 6 [] Content moderation: AI models
  7. 7 [] Optimizing speed and accuracy
  8. 8 [] Cultural reference AI training
  9. 9 [] Functional Tests
  10. 10 [] Continuous adaptation of AI
  11. 11 [] AI detection concerns
  12. 12 [] Fine-Tuned vs Off-the-Shelf
  13. 13 [] Monitoring Transformer Model Hallucinations
  14. 14 [] Auditing process ensures accuracy
  15. 15 [] Testing strategies for ML
  16. 16 [] Modeling hate speech deployment
  17. 17 [] Improving production code quality
  18. 18 [] Finding balance in Moderation
  19. 19 [] Model's expertise: Cultural Sensitivity
  20. 20 [] Wrap up

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