Online Access Free 1z0-1122-23 Exam Questions

What is the purpose of fine-tuning Large Language Models?

• A.To prevent the model from overfitting
• B.To reduce the number of parameters in the model
• C.To Increase the complexity of the model architecture
• D.To specialize the model's capabilities for specific tasks

How is Generative AI different from other AI approaches?

• A.Generative AI focuses on decision-making and optimization.
• B.Generative AI understands underlying data and creates new examples.
• C.Generative AI is used exclusively for text-based applications.
• D.Generative AI generates labeled outputs for training.

What role do tokens play in Large Language Models (LLMs)?

• A.They represent the numerical values of model parameters.
• B.They are Individual units into which a piece of text is divided during processing by the model.
• C.They are used to define the architecture of the model's neural network.
• D.They determine the size of the model's memory.

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

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