A company wants to improve a large language model (LLM) for content moderation within 3 months. The company wants the model to moderate content according to the company ' s values and ethics. The LLM must also be able to handle emerging trends and new types of problematic content.
Which solution will meet these requirements?
A company is developing a new foundation model (FM) for multilingual text generation. The model must work across multiple languages and dialects. The model must adhere to the principles of responsible AI.
Which model training process will meet these requirements?
A financial company has offices in different countries worldwide. The company requires that all API calls between generative AI applications and foundation models (FMs) must not travel across the public internet.
Which AWS service should the company use?
A company stores millions of PDF documents in an Amazon S3 bucket. The company needs to extract the text from the PDFs, generate summaries of the text, and index the summaries for fast searching.
Which combination of AWS services will meet these requirements? (Select TWO.)
A company is building a customer service chatbot. The company wants the chatbot to improve its responses by learning from past interactions and online resources.
Which AI learning strategy provides this self-improvement capability?
A financial company is using ML to help with some of the company ' s tasks.
Which option is a use of generative AI models?
A company wants to use large language models (LLMs) with Amazon Bedrock to develop a chat interface for the company ' s product manuals. The manuals are stored as PDF files.
Which solution meets these requirements MOST cost-effectively?
A digital devices company wants to predict customer demand for memory hardware. The company does not have coding experience or knowledge of ML algorithms and needs to develop a data-driven predictive model. The company needs to perform analysis on internal data and external data.
Which solution will meet these requirements?
A mining company is building a land classification system by using a dataset of several million images. The dataset contains raw image files in various formats. The images do not contain annotations or metadata that indicates types of land cover.
Which type of dataset has the company collected for modeling?
Which AI technique combines large language models (LLMs) with external knowledge bases to improve response accuracy?
