A company uses Amazon Bedrock to implement a generative AI assistant on a website. The AI assistant helps customers with product recommendations and purchasing decisions.The company wants to measure the direct impact of the AI assistant on sales performance.Which metric will meet these requirements?
Answer(s): A
Conversion rate directly measures the impact of the AI assistant on sales performance by quantifying the percentage of customers who make a purchase after interacting with the assistant. This metric links AIengagement to actual sales outcomes.
A company is using a large collection of web data to produce a large language model (LLM). The company completes a random initialization of the model’s weights. Next, the company fits the model to the data through a language objective modelling function.Which stage of the model training process does this scenario describe?
Answer(s): B
The model is being trained from randomly initialized weights on a large corpus using a general language modeling objective, which corresponds to the pre-training phase where foundational knowledge is learned.
What is the benefit of fine-tuning a foundation model (FM)?
Answer(s): D
By updating the model’s weights with task-relevant examples, fine-tuning sharpens its understanding of domain-specific language and objectives, yielding higher accuracy and relevance on that particular task.
Which foundation model (FM) in Amazon Bedrock can be fine-tuned for text, image, and video comprehension?
Amazon Nova Pro supports multimodal capabilities and can be fine-tuned for understanding and generating insights across text, image, and video inputs, making it suitable for comprehensive multimodal comprehension tasks.
A company is building an AI assistant to answer customer questions about the company's products. The company uses Amazon SageMaker JumpStart to host an AI model that supports the AI assistant.The company needs to ensure that the AI assistant's responses do not include offensive content, even if a customer requests offensive content.Which AWS service, feature, or resource will meet these requirements?
Amazon Bedrock Guardrails can filter harmful or inappropriate content in model inputs and outputs. The company can configure content policies so the AI assistant blocks offensive responses even when users explicitly request such content.
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