AWS Bedrock Text Summarization with Mistral LLM | End to End project

I have demonstrated how to implement a robust text summarization solution using AWS Bedrock. The project utilizes Visual Studio Code (VS Code) with the AWS SDK to build and manage the infrastructure and code necessary for text summarization. Below, I detail the steps and technologies used to create a fully functional text summarization service.

Project Setup: The development environment was set up using VS Code integrated with the AWS SDK, enabling efficient coding and deployment processes.

API Gateway Creation: I created an API Gateway to serve as the entry point for text summarization requests. This API Gateway acts as a bridge between external clients and the backend Lambda function.

Lambda Function Implementation: A Lambda function was developed to process incoming text summarization requests. The Lambda function is responsible for invoking the AWS Bedrock service and leveraging the Mistral LLM (Language Learning Model) to generate concise summaries from the input text.

AWS Bedrock Integration: AWS Bedrock was configured to facilitate interactions with the Mistral LLM. This setup ensures that the Lambda function can seamlessly utilize the summarization capabilities of the Mistral LLM for producing accurate and coherent summaries.

Testing with Postman: The entire system was tested using Postman to ensure that the API Gateway, Lambda function, and Bedrock integration were functioning correctly. This testing phase validated the end-to-end workflow, ensuring that text summaries are returned as expected.

AWS Bedrock : https://studio.youtube.com/playlist/P...

Python Tutorial: https://studio.youtube.com/playlist/P...

AWS Lambda:
   • AWS Lambda Connect boto3  
   • AWS API Gateway to Lambda Functions  
https://studio.youtube.com/playlist/P...

AWS SDK with VS
   • Seamless AWS SDK Integration with Vis...  S
   • AWS Lambda Development in VS Code: Fr...  

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