Demystifying the Transformer Neural Network Architecture

This blog post provides a comprehensive guide to the Transformer neural network architecture, which was introduced in the 2017 paper “Attention is All You Need”. The Transformer model, initially designed for neural machine translation, has proven to be a versatile tool for various applications beyond Natural Language Processing (NLP). The post delves into the key […]

BlazingMQ: A Powerful Message-Oriented Middleware for Decentralized Applications

BlazingMQ, an open-source middleware developed by Bloomberg, facilitates the building of decentralized applications through message-oriented communication. It offers durable, fault-tolerant, and highly performant queues, with features like various message routing strategies, compression, and strong consistency. BlazingMQ abstracts the transport and network, supports multiple enterprise architecture patterns, and provides a rich set of APIs in C++, […]

“Unveiling Changes in Datasets: An Introduction to Explanation Algorithms and the Open-Source SQL Data Differ”

The blog post discusses the concept of explanation algorithms, which help answer ‘why’ questions in data analysis by identifying high-likelihood explanations for changes in datasets. The author introduces an open-source SQL data differ, which is a tool that can identify differences between two datasets. The tool, part of the datools library, is implemented as a […]