CSPAI 試験問題を無料オンラインアクセス

A company's chatbot, Tay, was poisoned by malicious interactions. What is the primary lesson learned from this case study?

• A.Encrypting user data can prevent such attacks
• B.Continuous live training is essential for enhancing chatbot performance.
• C.Open interaction with users without safeguards can lead to model poisoning and generation of inappropriate content.
• D.Chatbots should have limited conversational abilities to prevent poisoning.

What metric is often used in GenAI risk models to evaluate bias?

• A.Fairness metrics like demographic parity or equalized odds.
• B.Number of parameters in the model.
• C.Accuracy rate without considering demographics.
• D.Computational efficiency during training.

In a Transformer model processing a sequence of text for a translation task, how does incorporating positional encoding impact the model's ability to generate accurate translations?

• A.It helps the model distinguish the order of words in the sentence, leading to more accurate translation by maintaining the context of each word's position.
• B.It simplifies the model's computations by merging all words into a single representation, regardless of their order
• C.It ensures that the model treats all words as equally important, regardless of their position in the sequence.
• D.It speeds up processing by reducing the number of tokens the model needs to handle.

When integrating LLMs using a Prompting Technique, what is a significant challenge in achieving consistent performance across diverse applications?

• A.The need for optimizing prompt templates to ensure generalization across different contexts.
• B.Overcoming the lack of transparency in understanding how the LLM interprets varying prompt structures.
• C.Reducing latency in generating responses to meet real-time application requirements.
• D.Handling the security concerns that arise from dynamically generated prompts

What is the main objective of ISO 42001 in AI management systems?

• A.To establish requirements for an AI management system within organizations.
• B.To focus solely on technical specifications for AI algorithms.
• C.To provide guidelines only for small-scale AI projects.
• D.To regulate hardware used in AI deployments.