Introduction Machine learning has become a solution to many data-driven problems. Be it identifying fraudulent transactions in a banking system, loan prediction, prediction of early stages of a certain disease or predicting customer churn. With automation replacing many of the repetitive processes and the use of the ML models raises an…

Introduction OpenAI recently hosted their first ever dev event where they announced many new models and exciting features coming to the OpenAI platform. Here are some sneak peek into what's coming. GPT-4 Turbo Newer version of GPT-4 model with 128K context length. Knowledge base of the model has been updated to April 2023. …

Introduction This is second part of Document Intelligence series where I continue to explore various techniques which can be applied on documents. This article introduces an approach towards table detection by utilizing transformer based models. Detection Transformer or DETR in short which is an encoder decoder transformer released by Microsoft. I…

Introduction If you are working on a Data Science project, then you know that pandas is the most popular library for data processing and analysis. Handling large size data in pandas may become a time taking process and even simple operations sometimes take a lot of time. In this article, I…

Introduction Generative models have taken over the world and the its uses are limitless. It has empowered people to increase their productivity and efficiency, even gather information and understand any concept within seconds. I will be demonstrating how to develop a tool that enables users to submit a prompt, whether it’s…

Introduction When dealing with unstructured data, you frequently encounter a situation where you must seek a resolution to efficiently retrieve information from a table within any document. Pytesseract is one of python libraries which can help you perform OCR on documents to get all the text present in it. But what…

Introduction Electronic devices are now an integral part of our lives. People rely on their personal computing devices to get work done or use it for entertainment. There's an app for every task these days. These apps run on servers in a datacenter or served from an enterprise network. The entire…

Introduction As a Data Science practitioner, I often end up dealing with large datasets and need to run large model training experiments. These tasks often take longer and sometimes even encounter memory shortage. Well, worry no more. Nvidia provides an interface known as Rapids to execute pandas, visualize large datasets and…

Introduction If you are working or have worked on any data science task then you definitely used pandas. So, pandas is a library which helps with performing data ingestion and transformations. Pandas Code For this example, I have taken the supermart grocery sales dataset which contains information about products, sales, discount, profit etc. …