datacollectionsamplingTrainingDataWatsonXdeeplearningMachineLearningFoundationModelsWizard ofOzPrototypingreinforcedlearningTrustworthyAIWizard ofOzPrototypingHumanin theLoopUnsupervisedlearningChatbotreinforcedlearningModelDriftSupervisedlearningExplainabilitySupervisedlearningGenerativeAIAIFoundationModelsValueAlignmentbiastransparentdataFairnessExplainabilityTrainingDataAIEthicsModelHallucinationLargeLanguageModelsNeuralNetworkbiastransparentdataValueAlignmentRobustnessdatacollectionsamplingChatbotGenerativeAIWatsonXUnsupervisedlearningRobustnessModelHallucinationHumanin theLoopTrustworthyAINLPAIAIEthicsMachineLearningLargeLanguageModelsFairnessModelDriftNeuralNetworkdatacollectionsamplingTrainingDataWatsonXdeeplearningMachineLearningFoundationModelsWizard ofOzPrototypingreinforcedlearningTrustworthyAIWizard ofOzPrototypingHumanin theLoopUnsupervisedlearningChatbotreinforcedlearningModelDriftSupervisedlearningExplainabilitySupervisedlearningGenerativeAIAIFoundationModelsValueAlignmentbiastransparentdataFairnessExplainabilityTrainingDataAIEthicsModelHallucinationLargeLanguageModelsNeuralNetworkbiastransparentdataValueAlignmentRobustnessdatacollectionsamplingChatbotGenerativeAIWatsonXUnsupervisedlearningRobustnessModelHallucinationHumanin theLoopTrustworthyAINLPAIAIEthicsMachineLearningLargeLanguageModelsFairnessModelDriftNeuralNetwork

Spark Design Fest Bingo 2023 - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. data collection sampling
  2. Training Data
  3. WatsonX
  4. deep learning
  5. Machine Learning
  6. Foundation Models
  7. Wizard of Oz Prototyping
  8. reinforced learning
  9. Trustworthy AI
  10. Wizard of Oz Prototyping
  11. Human in the Loop
  12. Unsupervised learning
  13. Chatbot
  14. reinforced learning
  15. Model Drift
  16. Supervised learning
  17. Explainability
  18. Supervised learning
  19. Generative AI
  20. AI
  21. Foundation Models
  22. Value Alignment
  23. bias transparent data
  24. Fairness
  25. Explainability
  26. Training Data
  27. AI Ethics
  28. Model Hallucination
  29. Large Language Models
  30. Neural Network
  31. bias transparent data
  32. Value Alignment
  33. Robustness
  34. data collection sampling
  35. Chatbot
  36. Generative AI
  37. WatsonX
  38. Unsupervised learning
  39. Robustness
  40. Model Hallucination
  41. Human in the Loop
  42. Trustworthy AI
  43. NLP
  44. AI
  45. AI Ethics
  46. Machine Learning
  47. Large Language Models
  48. Fairness
  49. Model Drift
  50. Neural Network