Extraction

For a few years, businesses have used Optical Character Recognition (OCR) to convert physical documents into digital formats, transforming the strategy of data entry. Nevertheless, as businesses face more complex workflows, OCR's limitations have...

Developing an application for extracting key profile information from CVs and recommending jobs aligned with the profileWith the increasing efficiency of Large Language Models (LLMs), they have gotten increasingly popular for information extraction from...

A Step-by-Step Guide to Document Querying with IndexifyTLDR:Traditional data extraction methods often miss deeper insights from unstructured content, particularly in the true estate sector.This text explores using Indexify, an open-source framework for real-time, multi-modal...

Time series are a special animal.After I began my Machine Learning profession I did it because I loved Physics (weird reason to start out Machine Learning) and from Physics I understood that I also...

Leveraging Semi-Supervised Concept-based Models with CMECME relies on an analogous remark highlighted in , where it was observed that vanilla CNN models often retain a high amount of knowledge pertaining to concepts of their...

In the fashionable digital era, data is usually likened to grease — a priceless resource that, when refined, can drive innovation, streamline operations, and bolster decision-making processes. Nevertheless, before data could be analyzed and...