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A company wants to use AI to automate a complex business process that involves multiple steps and requires access to different systems. They need something that can handle multi-step tasks, such as researching a topic, troubleshooting code, and accessing a system by chaining together actions. What part of the gen AI landscape can handle multi-step tasks?
Correct Answer: B
In the generative AI taxonomy: Agents are autonomous or semi-autonomous systems that reason, plan, break goals down into multi-step sequences, call external APIs/tools, and chain actions together to complete end-to-end tasks. Models (e.g., LLMs) serve as the underlying intelligence or reasoning engine. Platforms provide the development environment, orchestration frameworks, and governance tools. Infrastructure provides hardware accelerators (TPUs/GPUs), storage, and networking.
