GPT: The Next Frontier of Natural Language Processing
GPT-3 (Generative Pre-trained Transformer 3) is one of the most advanced language models developed by OpenAI, which uses deep learning to generate human-like text. With..
The projects in every company follow a certain lifecycle approach. In recent years, high focus on adaptive project management over more predictive project management...
AIOps AIOps is Artificial Intelligence for IT Operations. AIOps combine big data, ML algorithms, and automation tools to collect and analyze vast amounts of operational..
Attention Is All You Need – transformer architecture
“Attention Is All You Need” is a research paper that introduced the transformer architecture, which is a type of neural network that has become popular..
Understanding Lagging indicator and Leading indicator
Leading indicators are metrics to measure performance or progress on activities that need to be done to achieve a goal. Lagging indicators are metrics that..
The Agile Scaling team structure explained here, is based on combination of Scaled Agile (SAFe) framework and Spotify Engineering model. Spotify provides complete freedom to..
The COVID-19 created socio-economic crisis, forcing thousands of companies to re-craft their plans to handle the situation Companies need to enable employees to work from..
Here we talk about Dr. Kotter’s Leading Change model, He is renowned thought leader and Harvard Business School professor, developed this model after studying numerous..
Quantum computers work differently from the classical computers we work on today. Exploiting the principles of quantum mechanics, they can easily tackle computational problems that..
Kanban method has seven cadences /feedback loops (written by David Anderson), it is common for new implementations to start with a subset of these. It..
The Kanban Method is not an approach to software development, but it’s an approach to process improvement. The Kanban method uses a work-in-progress limited pull..
The idea behind microservices is to build and maintain application, with composable pieces which work together in contrast to a traditional, “monolithic” application which is..
The recommendation systems are built using Machine learning techniques which filter out the products that users would be interested in or would buy based on..
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