PromptEngineeringNaturalLanguageGeneration(NLG)BackpropagationReinforcementLearning (RL)AIGovernanceFine-tuningAdversarialnetworkGenerativePre-TrainedTransformers(GPT)RecurrentNeuralNetworks(RNNs)AdversarialTrainingTokensGenerativeadversarialnetwork(GAN)GeneralizationAgentsEthicalAITemperatureUnsupervisedLearningTransferLearningTransformerModelRetrievalAugmentedGeneration(RAG)PromptConversationalAISupervisedlearningEnsembleLearningSamplingBilingualEvaluationUnderstudy(BLEU)DateaugmentationDiffusionModelFoundationalModelGenerativemodelHierarchicalModelsFree!Human-in-the-Loop(HITL)SemanticNetworkHallucinationsAnnotationBiasInferenceNeuralMachineTranslation(NMT)Part-of-Speechtagging(POS )Encoder-DecoderArchitectureDomain-SpecificModelLatentspaceNamedEntityRecognition(NER)Zero-ShotLearningConditionalGenerationFew-shotlearningDataScienceTokenizationAutomatedmachinelearning(AutoML)LargeLanguageModel(LLMs)EncoderOne-ShotLearningTrainingNaturalLanguageProgramming(NLP)ModelAIBiasParametersOverfittingMachineLearning(ML)NeuralNetworksVariationalautoencoder(VAE)AutoencoderTuningEmbeddingAlgorithm:DeepLearningSelf-attentionPromptEngineeringNaturalLanguageGeneration(NLG)BackpropagationReinforcementLearning (RL)AIGovernanceFine-tuningAdversarialnetworkGenerativePre-TrainedTransformers(GPT)RecurrentNeuralNetworks(RNNs)AdversarialTrainingTokensGenerativeadversarialnetwork(GAN)GeneralizationAgentsEthicalAITemperatureUnsupervisedLearningTransferLearningTransformerModelRetrievalAugmentedGeneration(RAG)PromptConversationalAISupervisedlearningEnsembleLearningSamplingBilingualEvaluationUnderstudy(BLEU)DateaugmentationDiffusionModelFoundationalModelGenerativemodelHierarchicalModelsFree!Human-in-the-Loop(HITL)SemanticNetworkHallucinationsAnnotationBiasInferenceNeuralMachineTranslation(NMT)Part-of-Speechtagging(POS )Encoder-DecoderArchitectureDomain-SpecificModelLatentspaceNamedEntityRecognition(NER)Zero-ShotLearningConditionalGenerationFew-shotlearningDataScienceTokenizationAutomatedmachinelearning(AutoML)LargeLanguageModel(LLMs)EncoderOne-ShotLearningTrainingNaturalLanguageProgramming(NLP)ModelAIBiasParametersOverfittingMachineLearning(ML)NeuralNetworksVariationalautoencoder(VAE)AutoencoderTuningEmbeddingAlgorithm:DeepLearningSelf-attention

Gen AI Terms - 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. Prompt Engineering
  2. Natural Language Generation (NLG)
  3. Backpropagation
  4. Reinforcement Learning (RL)
  5. AI Governance
  6. Fine-tuning
  7. Adversarial network
  8. Generative Pre-Trained Transformers (GPT)
  9. Recurrent Neural Networks (RNNs)
  10. Adversarial Training
  11. Tokens
  12. Generative adversarial network (GAN)
  13. Generalization
  14. Agents
  15. Ethical AI
  16. Temperature
  17. Unsupervised Learning
  18. Transfer Learning
  19. Transformer Model
  20. Retrieval Augmented Generation (RAG)
  21. Prompt
  22. Conversational AI
  23. Supervised learning
  24. Ensemble Learning
  25. Sampling
  26. Bilingual Evaluation Understudy (BLEU)
  27. Date augmentation
  28. Diffusion Model
  29. Foundational Model
  30. Generative model
  31. Hierarchical Models
  32. Free!
  33. Human-in-the-Loop (HITL)
  34. Semantic Network
  35. Hallucinations
  36. Annotation
  37. Bias
  38. Inference
  39. Neural Machine Translation (NMT)
  40. Part-of-Speech tagging (POS )
  41. Encoder-Decoder Architecture
  42. Domain-Specific Model
  43. Latent space
  44. Named Entity Recognition (NER)
  45. Zero-Shot Learning
  46. Conditional Generation
  47. Few-shot learning
  48. Data Science
  49. Tokenization
  50. Automated machine learning (AutoML)
  51. Large Language Model (LLMs)
  52. Encoder
  53. One-Shot Learning
  54. Training
  55. Natural Language Programming (NLP)
  56. Model
  57. AI Bias
  58. Parameters
  59. Overfitting
  60. Machine Learning (ML)
  61. Neural Networks
  62. Variational autoencoder (VAE)
  63. Autoencoder
  64. Tuning
  65. Embedding
  66. Algorithm:
  67. Deep Learning
  68. Self-attention