Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 ...

According to Andrew Ng (@AndrewYNg), LandingAI has launched a new course titled 'Document AI: From OCR to Agentic Doc Extraction,' taught by David Park and Andrea Kropp (source: Andrew Ng on Twitter, ...

We developed a data pipeline using a secure, enterprise-wide deployment of OpenAI's GPT-4.0 to automatically extract data elements from prostate MRI report text when presented with prostate MRI ...

Abstract: To apply for higher education and job opportunities, a student's marksheet serves as a reference document. The conventional way of manually extracting meaningful information for companies ...

Background: Systematic literature reviews (SLRs) are critical to health research and decision-making but are often time- and labor-intensive. Artificial intelligence (AI) tools like large language ...

Dynamic predictive modeling using electronic health record data has gained significant attention in recent years. The reliability and trustworthiness of such models depend heavily on the quality of ...

Researchers have developed a novel attack that steals user data by injecting malicious prompts in images processed by AI systems before delivering them to a large language model. The method relies on ...

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A comprehensive AI-powered pipeline for extracting structured data from scanned bank statements using advanced OCR and Google Gemini AI. This system processes both images and PDFs, automatically ...