Amazon SageMaker is a fully managed machine learning service from Amazon Web Services. It enables data scientists and developers to build, train, and deploy machine learning models efficiently through its integrated development environment. The platform includes a hosted Jupyter notebook…
Problem StatementTo develop a robust GenAI system for processing multiple documents using AWS Bedrock’s multi-modal LLM capabilities, with support for parallel processing and comprehensive error handling. Pipeline Flow
Problem StatementTo enhance the Stable Diffusion model’s capability to generate domain-specific images by fine-tuning it on a custom dataset, improving the model’s understanding of specific contexts and image styles while maintaining generation quality. Approach Observations Optimization Steps and Results Optimization…
Problem statement Same as before, with focus on leveraging LLM’s vision and language capabilities Approach Observation Optimization steps and Results Contribution
Problem statement: To develop an advanced financial document analysis system that leverages Large Language Models (LLMs) to automatically extract, process, and structure complex financial information from investment fund PDFs, while ensuring high accuracy and maintaining data integrity across visual and…