What is the importance of prompt engineering when working with generative AI?
- It generates highly realistic video and audio recordings, making it appear as if individuals are saying or doing things they never actually did.
- It analyzes data to describe what is happening or has happened.
- It involves crafting specific and strategic input prompts to optimize the AI's output.
- It enhances search capabilities by understanding and generating information across multiple modalities.
Explanation: Prompt engineering involves crafting specific and strategic input prompts to optimize the AI's output. Just as a clear question can lead to a more precise answer, well-designed prompts help generative AI models understand and respond accurately to the task at hand.
Google's MUM (Multitask Unified Model) are designed to enhance search capabilities by understanding and generating information across multiple modalities, including text, images, and potentially other data types like audio and video.
DeepFake Technology generates highly realistic video and audio recordings, making it appear as if individuals are saying or doing things they never actually did.
Descriptive AI analyzes data to describe what is happening or has happened. It focuses on understanding past and present data to provide insights and a clear picture of current or historical events.
Related exam: 15.8.2 Module Quiz Answers – CCNA 200-301 Exam v1.1 Supplemental Module
