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Stay ahead with 100% Free NCA - Generative AI LLMs NCA-GENL Dumps Practice Questions
You are part of a team developing a summarization tool designed to condense lengthy legal documents into brief, actionable summaries. The tool is intended to assist lawyers by quickly highlighting the most critical information. The senior engineer has asked you to help determine which aspects of the tool’s design are most critical for producing high-quality summaries. What is the most crucial factor to consider when building the summarization tool for legal documents?
You are working with a senior team member to deploy a large language model (LLM) across a multi-cloud environment. The senior team member asks you to assist in evaluating the model's scalability. The model is expected to handle a significant increase in traffic as the user base grows, and you need to identify any potential bottlenecks. What is the most appropriate first step in evaluating the model's scalability in this scenario?
You are preparing a large-scale dataset for training a language model aimed at detecting hate speech in social media posts. The dataset is diverse, containing text in multiple languages and various social media platforms. You need to ensure high-quality labels and annotations for effective training. Which of the following approaches would most effectively ensure the quality and relevance of the dataset annotations?
You are working on deploying a generative AI model that creates personalized email content for a large marketing campaign. The model needs to handle high traffic and maintain performance as the number of users increases. Under the supervision of a senior team member, you need to evaluate the model’s scalability and performance. Which of the following actions would best help you ensure that the model can scale effectively while maintaining performance? (Select two)
During the evaluation of a deployed LLM model, you notice that the model’s response times are inconsistent, with significant delays occurring sporadically. What is the most likely cause of these performance fluctuations?
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