MachineLearningreinforcedlearningWatsonXHumanin theLoopModelDriftLargeLanguageModelsFairnessModelHallucinationdatacollectionsamplingChatbotUnsupervisedlearningGenerativeAITrustworthyAIModelHallucinationLargeLanguageModelsValueAlignmentModelDriftAIEthicsWatsonXAIEthicsSupervisedlearningAIRobustnessWizard ofOzPrototypingAIValueAlignmentdeeplearningNLPreinforcedlearningMachineLearningFoundationModelsExplainabilitydatacollectionsamplingWizard ofOzPrototypingUnsupervisedlearningSupervisedlearningRobustnessTrainingDataHumanin theLoopGenerativeAIbiastransparentdataFoundationModelsChatbotExplainabilitybiastransparentdataFairnessTrustworthyAITrainingDataNeuralNetworkNeuralNetworkMachineLearningreinforcedlearningWatsonXHumanin theLoopModelDriftLargeLanguageModelsFairnessModelHallucinationdatacollectionsamplingChatbotUnsupervisedlearningGenerativeAITrustworthyAIModelHallucinationLargeLanguageModelsValueAlignmentModelDriftAIEthicsWatsonXAIEthicsSupervisedlearningAIRobustnessWizard ofOzPrototypingAIValueAlignmentdeeplearningNLPreinforcedlearningMachineLearningFoundationModelsExplainabilitydatacollectionsamplingWizard ofOzPrototypingUnsupervisedlearningSupervisedlearningRobustnessTrainingDataHumanin theLoopGenerativeAIbiastransparentdataFoundationModelsChatbotExplainabilitybiastransparentdataFairnessTrustworthyAITrainingDataNeuralNetworkNeuralNetwork

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