Checking Document Outline with LLM
Introduction Let’s solve the problem of an organization receiving multiple documents that should have the same information, but different formats,...
Machine Learning Solution for Extracting Information
Oftentimes before we get to develop the Machine Learning Solution for Extracting Information, we need to test several approaches to...
Active Learning on MNIST – Saving on Labeling
Active Learning is a semi-supervised technique that allows labeling less data by selecting the most important samples from the learning...
Differentiable Programming – Inverse Graphics AutoEncoder
DeepLearning classifier, LSTM, YOLO detector, Variational AutoEncoder, GAN – are these guys truly architectures in sense meta-programs or just wise...
Automated NLP Without Much Effort
While building models for NLP on our own and from scratch, we were constantly communicating with our clients and asking...
Named Entity Recognition (NER) – briefly about the current state.
At the moment all available NER approaches fall into two big categories: useful for applied NLP problems and oriented for...
How Anomaly Detection Can Boost Your Business
Every business produces and stores considerable amounts of data, regardless of its domain. Whether it deals in Retail, Fintech, eCommerce,...