Microsoft Azure AI Fundamentals (AI-900)Describe AI workloads and considerationsHard
A biotechnology company is using an AI system to design novel protein structures for drug discovery. The system generates entirely new molecular sequences based on desired therapeutic properties. Researchers want to ensure the system is continuously innovative, creating diverse and functional designs that go beyond simply optimizing existing structures. Which AI workload is this company primarily leveraging?
- AKnowledge Mining
- BGenerative AI
- CPredictive Analytics
- DAnomaly Detection
Show answer & explanationAnswer & explanation
Correct answer: B. Generative AI
Generative AI is the AI workload specifically designed to create new, original content, such as novel protein structures, rather than just analyzing or predicting from existing data. This aligns with the need for continuously innovative and diverse designs.
Why the other options are wrong
- A. Knowledge Mining extracts information from existing data, it does not create new structures.
- C. Predictive Analytics forecasts outcomes or optimizes based on existing data, it doesn't create new entities.
- D. Anomaly Detection identifies unusual patterns; it's not for creating new designs.
Generative AI
A type of artificial intelligence that can create new and original content, such as text, images, audio, video, or even molecular structures, rather than just analyzing or classifying existing data.
- Learns patterns from existing data to create novel outputs.
- Applications include content creation, design, and simulation.
- Often uses models like Generative Adversarial Networks (GANs) or Transformers.
Memory trick: Generative AI, new things it'll try.