Online Access Free 1z0-1122-23 Exam Questions

How is "Prompt Engineering" different from "Fine-tuning" in the context of Large Language Models (LLMs)?

• A.Customizes the model architecture
• B.Guides the model's response using predefined prompts
• C.Trains a model from scratch
• D.Involves post-processing model outputs and optimizing hyper parameters

How do Large Language Models (LLMs) handle the trade-off between model size, data quality, data size and performance?

• A.They focus on increasing the number of tokens while keeping the model size constant.
• B.They ensure that the model size, training time, and data size are balanced for optimal results.
• C.They disregard model size and prioritize high-quality data only.
• D.They prioritize larger model sizes to achieve better performance.

What is the primary goal of machine learning?

• A.Creating algorithms to solve complex problems
• B.Explicitly programming computers
• C.Enabling computers to learn and improve from experience
• D.Improving computer hardware

Which AI domain is associated with tasks such as recognizing forces in images and classifying objects?

• A.Speech Processing
• B.Natural Language Processing
• C.Computer Vision
• D.Anomaly Detection