Build a serverless exam generator application from your own lecture content using Amazon Bedrock
Machine Learning Blog
This article describes how to build a serverless exam generation application using Amazon Bedrock that creates personalized exams from your own lecture content. The application allows educators to upload PDF files with lecture material, and an Anthropic Claude language model generates relevant questions and answers from the content.
Specifically, the article covers:
- An overview of Amazon Bedrock and its large language models
- The solution architecture involving AWS services like Lambda, ECS, Cognito, API Gateway, etc.
- Setting up the necessary prerequisites like installing AWS CLI, registering a domain, and requesting certificates
- Details on the prompting technique used (Chain-of-Thought prompting) to guide the language model
- Step-by-step instructions to build the application components using AWS SAM
- Testing and using the deployed application
- Possibilities for expanding the solution further
- Clean up steps to remove the created resources
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