LargeLanguageModel(LLM)DatalabelingDataprivacyGenerativeAI (GenAI)ExplainableAIDecisionIntelligenceBigDataNaturalLanguageProcessing(NLP)Retrieval-AugmentedGeneration(RAG)AIAgentArtificialIntelligence(AI)ChatbotOverfittingTransformersBiasUnstructureddataQueryinterpretationSupervisedLearningStructureddataDeepLearningCognitivecomputingPromptModelQueryoptimizationHallucinationResponsibleAITrainingsetPredictiveAnalyticsNeuralNetworksMachineLearning(ML)TransparencyDataqualityLargeLanguageModel(LLM)DatalabelingDataprivacyGenerativeAI (GenAI)ExplainableAIDecisionIntelligenceBigDataNaturalLanguageProcessing(NLP)Retrieval-AugmentedGeneration(RAG)AIAgentArtificialIntelligence(AI)ChatbotOverfittingTransformersBiasUnstructureddataQueryinterpretationSupervisedLearningStructureddataDeepLearningCognitivecomputingPromptModelQueryoptimizationHallucinationResponsibleAITrainingsetPredictiveAnalyticsNeuralNetworksMachineLearning(ML)TransparencyDataquality

ACS Fall 2025 - 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.


1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
  1. Large Language Model (LLM)
  2. Data labeling
  3. Data privacy
  4. Generative AI (GenAI)
  5. Explainable AI
  6. Decision Intelligence
  7. Big Data
  8. Natural Language Processing (NLP)
  9. Retrieval-Augmented Generation (RAG)
  10. AI Agent
  11. Artificial Intelligence (AI)
  12. Chatbot
  13. Overfitting
  14. Transformers
  15. Bias
  16. Unstructured data
  17. Query interpretation
  18. Supervised Learning
  19. Structured data
  20. Deep Learning
  21. Cognitive computing
  22. Prompt
  23. Model
  24. Query optimization
  25. Hallucination
  26. Responsible AI
  27. Training set
  28. Predictive Analytics
  29. Neural Networks
  30. Machine Learning (ML)
  31. Transparency
  32. Data quality