From the course: Hands-On AI: Building Agents with the Google Agent Development Toolkit (ADK)

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Strategic agent selection: Choosing the right ADK agent

Strategic agent selection: Choosing the right ADK agent

From the course: Hands-On AI: Building Agents with the Google Agent Development Toolkit (ADK)

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Strategic agent selection: Choosing the right ADK agent

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- Not all AI tasks are created equal. Some need creativity and natural language finesse. Others demand precise ordered execution, and a few require deep custom integration with complex systems. Choosing the right kind of agent for each task in the agent development kit isn't just smart. It's essential for building AI that works seamlessly and reliably in the real-world. Let's learn how to analyze real-world AI tasks and select the most appropriate ADK agent type, LLM, workflow, or custom. We'll connect these choices to the technical details, parameters, and capabilities you've seen in our notebooks and previous modules, helping you make informed design decisions. The core question is, when do you choose which agent? LLM agents, built on large language models, are your go-to for tasks requiring open-ended reasoning and dynamic decision-making based on the LLM's understanding. They excel at nuance text generation or interpretation of complex user input. Essentially, tasks that require…

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