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A team is fine-tuning a large language model on custom data using Vertex AI. They find that the training loss decreases but validation loss increases. What is the best course of action?
The increasing validation loss while training loss decreases is a classic sign of overfitting, where the model memorizes the training data but fails to generalize. Reducing model size or adding dropout regularization directly combats overfitting by limiting the model's capacity o…Read full explanation
A company wants to use GenAI to automate customer support. They have a large knowledge base. Which approach maximizes ROI in the first 6 months?
Maximizes ROI in the first 6 months because it leverages a pre-built conversational AI platform integrated with Retrieval-Augmented Generation (RAG). RAG allows the model to dynamically retrieve relevant information from the existing knowledge base at inference time, providing ac…Read full explanation
Which THREE are valid methods to reduce bias in generative AI outputs?
Option C is correct because a more diverse training dataset reduces representational bias by exposing the model to a wider range of demographics, cultures, languages, and viewpoints, so the learned distribution is less skewed toward a dominant group. Option D is correct because s…Read full explanation
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