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...
AI Searching for Related Organizations Addresses with Web-Search, spaCy, and RegExes
Recently, one of our clients has contacted us with an interesting problem. It was an investment company, which needed to...
Artificial Intelligence In E-commerce
It is important to point out that this article is only a summary of the basic capabilities of AI in...
Engagement Model for Machine Learning Projects
The engagement model determines the basis for cooperation between a client and a vendor. For example, in software development, it...
Meet The MindCraft AI Research Lab!
We are happy to announce the opening of the MindCraft AI R&D Lab. It’s been six months since we launched...
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...