A company makes forecasts each quarter to decide how to optimize operations to meet expected demand. The company uses ML models to make these forecasts.
An AI practitioner is writing a report about the trained ML models to provide transparency and explainability to company stakeholders.
What should the AI practitioner include in the report to meet the transparency and explainability requirements?
A.
Code for model training
B.
Partial dependence plots (PDPs)
C.
Sample data for training
D.
Model convergence tables
A company wants to use language models to create an application for inference on edge devices. The inference must have the lowest latency possible.
Which solution will meet these requirements?
A.
Deploy optimized small language models (SLMs) on edge devices.
B.
Deploy optimized large language models (LLMs) on edge devices.
C.
Incorporate a centralized small language model (SLM) API for asynchronous communication with edge devices.
D.
Incorporate a centralized large language model (LLM) API for asynchronous communication with edge devices.
A company is developing a mobile ML app that uses a phone's camera to diagnose and treat insect bites. The company wants to train an image classification model by using a diverse dataset of insect bite photos from different genders, ethnicities, and geographic locations around the world.
Which principle of responsible AI does the company demonstrate in this scenario?
A.
Fairness
B.
Explainability
C.
Governance
D.
Transparency
A company is developing an ML model to make loan approvals. The company must implement a solution to detect bias in the model. The company must also be able to explain the model's predictions.
Which solution will meet these requirements?
A.
Amazon SageMaker Clarify
B.
Amazon SageMaker Data Wrangler
C.
Amazon SageMaker Model Cards
D.
AWS AI Service Cards
A company has developed a generative text summarization model by using Amazon Bedrock. The company will use Amazon Bedrock automatic model evaluation capabilities.
Which metric should the company use to evaluate the accuracy of the model?
A.
Area Under the ROC Curve (AUC) score
B.
F1 score
C.
BERTScore
D.
Real world knowledge (RWK) score