Case Studies
Private Fund Data Extraction and Monitoring Pipeline using LLMs
An innovative financial document analysis system leverages LLMs (GPT-4V) to extract data from investment fund PDFs, processing both text and graphical content. The pipeline incorporates multimodal capabilities, validation rules, and parallel processing, resulting in efficient automated extraction with high accuracy and reduced manual intervention.
Multilingual Invoice Translation using Multimodal LLMs
A cutting-edge multimodal LLM system processes multilingual invoices, combining visual understanding and translation capabilities in a single model. The solution handles complex layouts, preserves financial data integrity, and generates standardized outputs through optimized prompts and validation checks, significantly reducing processing time and improving accuracy.
Stable Diffusion Model Customization
A specialized project enhances Stable Diffusion through custom dataset fine-tuning, combining hybrid tokenization and text augmentation techniques. The implementation features optimized training parameters, efficient inference pipeline, and validation checks, resulting in improved domain-specific image generation while maintaining overall quality and performance.
Multi-Modal Deed Extraction and Processing Pipeline
An advanced GenAI system leverages AWS Bedrock’s multi-modal LLM capabilities to process deed documents through parallel processing. The pipeline handles multiple files simultaneously, featuring comprehensive error handling, organized output management, and consolidated reporting while maintaining processing continuity despite failures.
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