BenchMark Quizzes by MDFT Pro

Identify Generative AI Characteristics

Claire, the Learning Technology Manager at MDFT Pro, is researching generative AI solutions to enhance the company’s course creation process. MDFT Pro, a well-known training agency, wants to implement AI tools that can help trainers generate educational content, create practice scenarios, and develop personalized learning materials for students.

Claire needs to understand the fundamental characteristics of generative AI technologies and how different model sizes impact their capabilities for educational content creation.

Which statements accurately describe generative AI and language model characteristics?

Choose the correct answer from the options below.

Explanations for each answer:

Only generative AI can create new content is incorrect. While generative AI does create new content like text and images, the distinction between LLMs and SLMs is also based on model parameters, making this incomplete.
Generative AI creates content and model size affects capabilities is correct. Generative AI enables content creation like text and images, and the difference between LLMs and SLMs is indeed the number of parameters (variables) in the model.
All statements including supervised learning classification are correct is incorrect. Generative AI is not typically classified as supervised learning; it often uses unsupervised or self-supervised approaches.
None of these characteristics apply to generative AI is incorrect. Generative AI does enable content generation and model size does differentiate LLMs from SLMs through parameter count.

Learn more about generative AI:

Generative AI Concepts

Exam Preparation Quiz

Identify Generative AI Characteristics