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