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Amna Tiwana

Product Marketing Engineer from Pakistan.

Model Context Protocol: Beyond Fragile Prompts to Secure AI Integration

Model Context Protocol: Beyond Fragile Prompts to Secure AI Integration

The Model Context Protocol (MCP) enhances AI workflows, ensuring reliability, security, and consistency in your projects. MCP helps you build agents and complex workflows on top of LLMs.

AI Summarization of Long Documents: Tackling Long Documents with Precision

AI Summarization of Long Documents: Tackling Long Documents with Precision

Long texts are difficult to summarize, but recursion can divide them into small parts. The approach is precise and preserves the meaning at any step of iteration.

Structure PDF Table Data for AI Applications with GMFT

Structure PDF Table Data for AI Applications with GMFT

GMFT is a fast, lightweight toolkit for extracting tables from PDFs into formats like CSV, JSON, and Pandas DataFrames. Leveraging Microsoft's Table Transformer, GMFT efficiently processes both text and image tables, ensuring high performance for reliable data extraction.

Extracting Metadata from PDFs with Named Entity Recognition using Spacy

Extracting Metadata from PDFs with Named Entity Recognition using Spacy

NER identifies entities like people and locations in text. SpaCy automates this with pre-trained models, offering accuracy, speed, and multi-language support. It excels at handling large datasets efficiently compared to rule-based methods.