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Why is generative AI the best solution for generating image captions?
Prepare for the AI-900 exam by understanding why generative AI is the correct solution for generating a caption from an image. Learn how computer vision and generative models combine for this multi-modal task, and why text analytics is incorrect.
Question
Which AI solution matches the following task? “Generate a caption from a given image.”
A. Text analytics
B. Computer vision
C. Data mining
D. Generative AI
Answer
D. Generative AI
Explanation
The correct AI solution for this task is D. Generative AI. This is because the task requires the creation of new, descriptive text based on a visual input, which is a hallmark of a multi-modal generative model.
Understanding Generative AI for Image Captioning
Generating a caption from an image is a sophisticated task that combines two major AI fields: computer vision and natural language generation. The process works as follows:
- Visual Analysis: The system first uses a computer vision model to “see” and interpret the content of the image. It identifies objects, people, actions, and the overall scene.
- Text Generation: This visual understanding is then passed to a generative language model. This model takes the identified concepts from the image and synthesizes them into a coherent, human-readable sentence or caption.
The key to this question is the verb “generate.” The solution must create new content (the caption), which is the primary function of generative AI. While computer vision is a critical part of the process, it is the input mechanism; the final output is produced by a generative process.
Why Other Options Are Incorrect
- Text analytics: This solution is used to analyze existing text. It cannot process image inputs.
- Computer vision: While computer vision is essential for understanding the image, it is only one part of the solution. By itself, it identifies objects but does not perform the final step of creating a descriptive sentence. Generative AI is the broader solution type that encompasses this entire generate-from-image task.
- Data mining: This process involves discovering patterns in large datasets and is not designed for generating creative content for a single data point like an image.
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