Advanced AI by Mr. Tenner

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Across
  1. 2. Input given to an AI
  2. 4. Information used to teach a model
  3. 6. Learning with correct answers provided
  4. 9. Process of improving model performance
  5. 11. Software that performs intelligent tasks
  6. 12. Result produced by a model
  7. 18. AI that creates new content
  8. 21. Information sent into a system
  9. 22. Type of model that works with text
  10. 23. Direction used to update model learning
  11. 26. Increasing model size or capacity
  12. 27. Learning through rewards and penalties
  13. 29. Process of cleaning noisy data
  14. 31. Repeated structure found in data
Down
  1. 1. Model guess about what comes next
  2. 2. Adjustable values that influence model behavior
  3. 3. Numerical representation of meaning
  4. 5. Likelihood that a prediction is correct
  5. 6. Ordered set of tokens processed by AI
  6. 7. Confident but incorrect AI output
  7. 8. Extra information used by a model
  8. 10. Step-by-step procedure for solving a problem
  9. 13. Finding patterns without answers
  10. 14. Model that removes noise from data
  11. 15. Trained system that makes predictions
  12. 16. When a trained model generates an output
  13. 17. Mathematical representation used in models
  14. 19. Software used to complete tasks
  15. 20. Process of learning from examples
  16. 24. Method of learning by hiding data parts
  17. 25. Structured instruction to a system
  18. 28. Small unit of text processed by AI
  19. 30. Representation used for tokens