Topic 1 Question 18
An AI practitioner wants to use a foundation model (FM) to design a search application. The search application must handle queries that have text and images. Which type of FM should the AI practitioner use to power the search application?
Multi-modal embedding model
Text embedding model
Multi-modal generation model
Image generation model
ユーザの投票
コメント(9)
Multi-modal embedding models can process multiple types of input data, such as text and images. This allows the search application to handle queries that involve both text and images effectively.
👍 10galliaj2024/11/01- 正解だと思う選択肢: A
queries that have text and images >>> Multi-modal embedding
👍 6jove2024/11/05 - 正解だと思う選択肢: A
The answer is A. Multi-modal embedding model.
A multi-modal embedding model is a type of foundation model that can process and understand both text and images. This makes it suitable for powering a search application that handles queries containing both text and images.
Here's a breakdown of the other options:
B. Text embedding model: This type of model is only designed to process text data, so it wouldn't be suitable for handling image queries. C. Multi-modal generation model: This type of model is designed to generate text or images, not to search for them. D. Image generation model: This type of model is only designed to generate images, not to search for them.https://www.examtopics.com/exams/amazon/aws-certified-ai-practitioner-aif-c01/view/5/#
👍 5Moon2024/12/30
シャッフルモード