先試後買

A. By enhancing the model's computational efficiency

B. By offering input-output pairs that exemplify the desired behavior

C. By providing a large training set to improve generalization

D. By reducing overfitting through regularization techniques

A. They enhance automation and scalability of processes

B. They replace the need for human decision-making entirely

C. They require no maintenance or updates once implemented

D. They eliminate all data privacy concerns in business operations

A. Proprietary LLMs exclusively

B. Tools for prompt engineering and experimentation

C. Code generation to extend SAP BTP applications

D. Integration of foundation models into applications

A. Train custom models based on the mail data.

B. Generate random email content and send them to customers.

C. Generate JSON strings based on extracted information.

D. Generate a new SAP application based on the mail data.

A. To force the model to separate relevant and irrelevant output

B. To redirect the output to another software program

C. To ensure the model's response follows a desired structure or style

D. To increase the faithfulness of the output

A. Few-shot prompting

B. Meta prompting

C. One-shot prompting

D. Chain-of-thought prompting

A. Complete elimination of human oversight in content creation

B. Potential biases in generated content

C. Unlimited processing power usage without cost control

D. Inability to generate text in multiple languages