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AI Features

Applications of Foundation Models I

Understand the applications of foundation models in AI by learning about prompt engineering risks, important data preparation steps for fine-tuning, evaluation metrics for model performance, and considerations for selecting models under budget constraints. This lesson helps you build foundational knowledge for practical AI solutions and exam readiness.

Question 31

Sequence - Vertical
A company is planning to design an application that utilizes a foundation model to generate responses based on internal documents. They need to consider multiple factors when choosing the right foundation model and designing the application. Arrange the following design considerations in the correct order from the initial steps to final deployment:

1
2
3
4
5

Question 32

What is the potential risk of prompt engineering, where attackers exploit vulnerabilities to insert harmful input that causes the model to generate harmful or biased outputs?

A. Hijacking

B. Prompt injection ...