Goal- Oriented Action Summarizer Agent Extractor Agent Instruction- Driven LLM (Large Language Model) Input/Output Query Response Single Agent Workflow Models Recommender Agent Key persona Agent Hierarchy Intention- Driven Continuous Workflow Communication Capabilities Long- Term Memory Autonomous Agent Gen AI Utility Agent Human in the Loop Language as API Super Agent Orchestrator Agent Multi-Agent Coordination Goal- Oriented Action Summarizer Agent Extractor Agent Instruction- Driven LLM (Large Language Model) Input/Output Query Response Single Agent Workflow Models Recommender Agent Key persona Agent Hierarchy Intention- Driven Continuous Workflow Communication Capabilities Long- Term Memory Autonomous Agent Gen AI Utility Agent Human in the Loop Language as API Super Agent Orchestrator Agent Multi-Agent Coordination
(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.
Goal-Oriented Action
Summarizer Agent
Extractor Agent
Instruction-Driven
LLM (Large Language Model)
Input/Output
Query Response
Single Agent Workflow
Models
Recommender Agent
Key persona
Agent Hierarchy
Intention-Driven
Continuous Workflow
Communication Capabilities
Long-Term Memory
Autonomous Agent
Gen AI
Utility Agent
Human in the Loop
Language as API
Super Agent
Orchestrator Agent
Multi-Agent Coordination