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Leveraging GPT ModelPhoto by DeepMind on UnsplashManual document labeling is a time-consuming and tedious process that often requires significant resources and can be prone to errors. However, recent advancements in machine learning, particularly the technique known as few-shot learning, are making it easier to automate the labeling process. Large Language Models (LLMs) in particular are excellent few shot learners thanks for their emergent capability in context learning.In this article, we’ll take a closer look at how…

A Step-by-Step TutorialImage by Zinkevych_D from EnvantoIn the realm of document understanding, deep learning models have played a significant role. These models are able to accurately interpret the content and structure of documents, making them valuable tools for tasks such as invoice processing, resume parsing, and contract analysis. Another important benefit of deep learning models for document understanding is their ability to learn and adapt over time. As new types of documents are encountered, these models can…

And comparing its performance to layoutLMImage by Vladdeep from EnvantoIntelligent document processing (IDP) is the ability to automatically understand the content and structure of documents. This is a critical capability for any organization that needs to process a large number of documents, such as for customer service, claims processing, or compliance. However, IDP is not a trivial task. Even for the most common document types, such as invoices or resumes, the variety of formats and layouts that exist can make it very…

And comparing its performance to LayoutLMv2Image by Sabine van Erp from PixabayDocument understanding is the first and most important step in document processing and extraction. It is the process of extracting information from an unstructured or semi-structured document to transform it into a structured form. This structured representation can then be used to support various downstream tasks such as information retrieval, summarization, classification, and so on. There are many different approaches to document…

A step-by-step comparison between weak and full supervisionPhoto by Scott Graham on UnsplashIn recent years, there has been a significant advancement in Natural Language Processing (NLP) due to the advent of deep learning models. Real-world applications using NLP, ranging from intelligent chatbots to automated data extraction from unstructured documents, are becoming more prevalent and bringing real business values to many companies. However, these models still require hand-labeled training data to fine-tune them to the…