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NEW QUESTION # 218
You are selecting a model to fine-tune using Tuning Studio for a financial application that requires high accuracy and domain-specific language understanding.
Which type of model should you select to maximize fine-tuning efficiency and performance?
Answer: D
NEW QUESTION # 219
You are tasked with creating a prompt-tuned model that generates optimal, task-specific responses for a financial advisory chatbot. Your goal is to improve the model's accuracy in answering financial queries, and you need to determine the right parameters to focus on during the tuning process.
Which two of the following strategies are most effective in optimizing prompt-tuned models for accuracy? (Select two)
Answer: B,D
NEW QUESTION # 220
You are tuning a generative AI model to control the length of the generated responses.
Which of the following parameter configurations will ensure that the model generates responses that are at least 50 tokens long but no longer than 150 tokens?
Answer: A
NEW QUESTION # 221
In IBM Watsonx's Prompt Lab, you are refining a prompt to improve the clarity and relevance of the AI's responses. You need to understand which prompt editing options are available to optimize your results.
Which of the following is NOT an available prompt editing option?
Answer: A
NEW QUESTION # 222
You are tasked with developing a RAG system that integrates a transformer-based language model with a large document corpus. To speed up the development process, you are considering using specialized libraries designed for RAG.
Which of the following reasons best explains why these libraries are essential for your development process?
Answer: D
NEW QUESTION # 223
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