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Introduction to Table extraction Extracting tables from documents may sound straightforward, but in reality, it is a complex pipeline involving parsing text, recognizing structure, and preserving the precise spatial relationships…
Document Visual Question Answering (DocVQA) represents a rapidly advancing field aimed at improving AI’s ability to interpret, analyze, and respond to questions based on complex documents that integrate text, images,…
In recent years, there has been significant development in the field of large pre-trained models for learning robot policies. The term “policy representation” here refers to the different ways of…
Decoding One-Hot Encoding: A Beginner’s Guide to Categorical Data | by Vyacheslav Efimov | Nov, 2024
Learning to transform categorical data into a format that a machine learning model can understand When studying machine learning, it is essential to understand the inner workings of the most…
Super.AI is an Intelligent Document Processing (IDP) platform that harnesses the power of Large Language Models (LLMs) to extract data from any document with guaranteed accuracy. By offering access to…