Introduction Modern Large Language Models (LLMs) have revolutionized text analysis—until they encounter the complexities of PDFs. PDFs often feature intricate layouts, visual elements, flowcharts, images, and tables with interdependent contexts and relationships. This...
Vision Language Models (VLMs) such as GPT-4o and Claude-3.5 have done well and continue to improve at textual tasks but they still struggle with visual tasks. For example, let’s ask these VLMs to count the number of missing soda cans in this image: The Soda Can Puzzle...
Introduction If you’ve ever tried to extract meaningful data from PDFs—especially documents with complex layouts like tables, charts, or forms—you’ve likely run into OCR’s limitations. OCR is great for raw text, but it ignores structural relationships critical for...
Join this fireside chat with Andrew Ng (LandingAI) and Jay Persaud (EY) to discuss how Visual AI and Agentic applications are revolutionizing business operations and decision-making. We’ll explore how these advanced AI techniques are outpacing traditional approaches,...
The success of a deep learning model for vision tasks starts with the right dataset. In this video, we explore how to curate an optimal, high-quality dataset that aligns with your specific machine learning task. We’ll walk through real-world examples of what to...
