Using LLM — Zero-shot Labeling using LLM such as GPT is a promising approach to quickly create training data with minimal human input. It enables training AI systems without needing to manually label the entire dataset. However, one of the disadvtanage of this approach is accurate classification of complex and ambiguous entities. Imagine…

In the fast-paced realm of real estate and commercial property management, staying ahead of the curve is essential. One of the most critical yet time-consuming tasks in this domain is lease abstraction — the process of distilling complex lease agreements into concise and structured data points. …

A Step-by-Step Tutorial — The legal field is notorious for its vast amounts of complex and unstructured textual data. Legal professionals spend countless hours poring over legal documents, searching for relevant information, and extracting key insights to build persuasive arguments. However, this traditional approach to legal analysis is time-consuming, labor-intensive, and often prone to…

Leveraging zero-shot labeling — The need for high-quality labeled data cannot be overstated in modern machine learning applications. From improving our models’ performance to ensuring fairness, the power of labeled data is immense. Unfortunately, the time and effort required to create such datasets are equally significant. But what if we could reduce the time…

Using custom NLP model and chatGPT — In today’s complex business landscape, organizations face a multitude of risks that can impact their operations and bottom line. Identifying and analyzing these risks, known as risk factor analysis, is crucial for effective decision-making and risk management strategies by investors. Traditionally, this process has relied heavily on manual efforts, often…

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…