Agentic AI 360°
Across
- 1. Rules or checks that keep an AI system safe and on task
- 4. Step-by-step thinking used to choose actions or solve problems
- 6. The ability of an AI system to choose actions toward a goal
- 10. Process where an agent critiques or improves its own output
- 11. Coordinating models, tools, memory, and workflows
- 13. Stored context that helps an agent continue or personalize work
- 14. Framework often used to build LLM applications, chains, and agents
Down
- 2. Finding relevant information before generating an answer
- 3. Component that breaks a goal into smaller steps
- 5. Measuring whether an agent performs well on a task
- 7. Capacity to operate with limited human direction
- 8. The cost and value logic behind how models consume and produce tokens
- 9. Open protocol that lets AI applications connect to external tools, data, and systems
- 12. When an agent calls APIs, search, code, or external services