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AI Foundations 1: Concepts and Tools / English translation

Exercise: Selecting the Right Generative AI for a Work Task

Compare generative AI solutions for a specific work task, specifying required content, tool selection, expected value, and experimental methods, avoiding the common pitfall of choosing a product before identifying its use case.

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Practice Objective

This page provides a English translation. You've now learned about the main categories and business applications of generative models. Now connect them to your own work: where can generative AI create value, and which model approach best matches a given task?

Can be carried over Discover AI opportunities practice The example in the text, or you may choose another task.

Step 1: Choose an application

Come up with a real-world task involving content, communication, or data generation, such as drafting a client email, creating a visual concept for a presentation, customizing training materials for different audiences, generating documents, or exploring product design changes.

Step 2: Model Matching

According to Generative AI Models and Applications Compare GAN, VAE, Transformer, and diffusion models, and select the one most relevant to your task. Refer to the model comparison table and application mapping, while also considering output type, control mechanisms, and existing conditions.

Note: Real systems might combine multiple architectures. The purpose of this exercise is to illustrate the rationale for choices, not to require each product to belong to a single category, nor to require self-training of models.

Step 3: Explain the selection

Briefly answer two questions:

  • Which application have you selected?
  • Which model approach would you adopt and why?

Original practice suggestion: use no more than 200 English words to explain; Chinese text can be considerably longer. The focus is clearly stating the task and the reasoning behind the choice. A detailed plan is not required. This is an open-ended exercise with no single correct answer.

Related Reading

First in Generative AI Models and Applications Compare technical approaches and implementation pathways, select a scheme, and then clarify how experimental results will be verified.

Reference and Extended Reading

The following is an editorial addition.

return to AI Foundations 1: Concepts and Tools view full reading sequence, or search concepts and paragraphs .