A company wants to deploy a secure AI system with controlled access. The system must allow only authorized personnel to access model training data.Which AWS service will meet these requirements?
Answer(s): C
AWS Identity and Access Management (IAM) enables fine-grained access control by defining users, roles, and permissions, ensuring that only authorized personnel can access model training data.
A company has fine-tuned a large language model (LLM) to answer questions for a help desk. The company wants to determine if the fine-tuning has enhanced the model's accuracy.Which metric should the company use for the evaluation?
The F1 score is a metric that combines precision and recall into a single value, providing a balance between the two. It is particularly useful in evaluating models where there is an uneven class distribution, as it considers both false positives and false negatives. The F1 score is calculated as the harmonic mean of precision and recall:This metric ranges from 0 to 1, with 1 indicating perfect precision and recall. In the context of evaluating a fine-tuned large language model (LLM) for a help desk application, the F1 score is appropriate because it assesses the model's ability to provide accurate and relevant responses, balancing the trade-off between precision (correctness of responses) and recall (completeness of relevant responses).
https://arize.com/blog-course/f1-score/
A company has created a custom model by fine-tuning an existing large language model (LLM) from AmazonBedrock. The company wants to deploy the model to production and use the model to handle a steady rate of requests each minute.Which solution meets these requirements MOST cost-effectively?
Answer(s): D
Provisioned Throughput is priced lower per request when you have a predictable, steady volume of calls. By committing to a fixed throughput level, you secure the necessary capacity at a reduced unit cost compared to on-demand, making it the most cost-effective choice for steady-minute usage.
A hospital developed an AI system to provide personalized treatment recommendations for patients. The AIsystem must provide the rationale behind the recommendations and make the insights accessible to doctors and patients.Which human-centered design principle does this scenario present?
Answer(s): A
Explainability ensures that the AI system reveals the reasoning behind its recommendations in an understandable way, making insights transparent and accessible to both doctors and patients.
HOTSPOT (Drag and Drop is not supported)Select the correct prompt engineering technique from the following list for each description. Select each prompt engineering technique one time or not at all.Hot Area:
Provide a small number of examples to the model to understand the desired task before generating outputs ->Few-shot promptingPrompt a model to break down the step-by-step process that the model took to arrive at a final answer ->Chain-of-thought promptingPrompt a model to perform a task without providing examples -> Zero-shot promptingFew-shot prompting uses a few examples to guide the model’s outputs.Chain-of-thought prompting asks the model to explain its reasoning step-by-step.Zero-shot prompting asks the model to perform a task without any examples.
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