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Introducing zeroCPR: An Approach to Finding Complementary Products | by Michelangiolo Mazzeschi | Jul, 2024

[ad_1] Recommendation Systems Current ML models can recommend similar products, but how about complementary? In the domain of AI Recommendation Systems, Machine Learning models have been heavily used to recommend similar samples, whether products, content or even suggesting similar contacts. Most of these pre-trained models are open-source and can be used without training a model…

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Exploring NLP Preprocessing Techniques: Stopwords, Bag of Words, and Word Cloud | by Ravjot Singh | Jun, 2024

[ad_1] Natural Language Processing (NLP) is a fascinating field that bridges the gap between human communication and machine understanding. One of the fundamental steps in NLP is text preprocessing, which transforms raw text data into a format that can be effectively analyzed and utilized by algorithms. In this blog, we’ll delve into three essential NLP…

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How to automate medical data extraction: A quick guide

[ad_1] Medical data extraction remains a significant hurdle, with the sector requiring 7.7x more administrative workers than other industries. Automating healthcare data extraction can help healthcare providers reduce operational spending and streamline their processes while improving patient care. These systems capture and extract crucial information from a variety of medical documents—patient records, insurance…

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From OCR to Deep Learning

[ad_1] In today's data-driven world, forms are everywhere, and form data extraction has become crucial. These documents collect information efficiently but often require manual processing. That's where intelligent document processing (IDP) comes in. IDP leverages OCR, AI, and ML to automate form processing, making data extraction faster and more accurate than traditional methods. It's not…

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Enhancing Vision-Language Models: Addressing Multi-Object Hallucination and Cultural Inclusivity for Improved Visual Assistance in Diverse Contexts

[ad_1] The research on vision-language models (VLMs) has gained significant momentum, driven by their potential to revolutionize various applications, including visual assistance for visually impaired individuals. However, current evaluations of these models often need to pay more attention to the complexities introduced by…

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