In today’s hyper-connected, globally competitive business environment, effective and efficient supply chain management has become a strategic necessity. At the heart of this complex web of goods and information flows lies document processing, an often overlooked yet vital aspect of supply chain operations. Supply chain document processing involves the acquisition…

Using custom AI and chatGPT — In today’s fast-paced insurance industry, processing a vast array of documents is a critical but often cumbersome task. Intelligent Document Extraction has emerged as a game-changing solution for insurance companies, streamlining the handling of policy declarations, claims forms, endorsements, and underwriting documents. …

Using custom trained AI model — In the world of accounting, document extraction from bank statements is an important task that ensures efficiency and accuracy in financial transactions. This is particularly important in an era where data is growing at an unprecedented rate and manual data entry is becoming increasingly inefficient. In this tutorial we are…

As AI models are becoming commoditized, high quality training data is becoming key to successful and applicable AI. chatGPT is the perfect example, feeding GPT-3 with a small amount of high quality human labeled dataset using RLHF, OpenAI created on of the most advanced AI model available to humanity. At…

Leveraging GPT Model — Manual 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…

And its limitations — Introduction Continuing on our previous article “What is Synthetic Data Generation”, in this article we will provide a step-by-step tutorial on how to generate synthetic text based on real named entities using Large Language Model (LLM) chatGPT. We will focus two domains: job description generation and medical abstract generation. The development…

Introduction Fine-tuning is a critical process that allows you to customize a pre-trained model to better suit your specific application. With access to the vast amount of data that has been used to train models like GPT-3, fine-tuning empowers you to improve the results you get from these models for your…

A Step-by-Step Tutorial — In 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…

And comparing its performance to layoutLM — Introduction Intelligent 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…