Introduction to Large Language ModelsUnderstanding Large Language Models LLMs are large, general-purpose language models that can be pre-trained and fine-tuned for specific tasks. They are trained on vast datasets and can solve common language problems like text classification and que...Jan 28, 2026·1 min read
Source Code Repositories - Git and GithubIntroduction to Source Control with Git When starting a new project, having a place to manage, share, and track code is essential for collaboration and continuity. Git is a widely used distributed version control system that allows teams to store sou...Apr 13, 2025·3 min read
Understanding the Benefits of ContainersA container is a unit of software that encapsulates everything needed to build, ship, and run applications. Containers lower deployment time and costs, improve utilization, automate processes, and support next-gen applications (microservices). Maj...Feb 2, 2025·8 min read
Kubernetes -cloud-native applicationsWhat is a key characteristic of a cloud-native application? Cloud-native applications are designed to be distributed into microservices, each performing a specific task and running in a container. This approach enables scalability, fast deployment, a...Jan 24, 2025·3 min read
Stress Test vs Resiliency Test Vs BCDRThe terms stress test, resiliency test, and BCDR (Business Continuity and Disaster Recovery) are related to the evaluation of an organization's ability to withstand and recover from different types of disruptions, but they focus on different aspects ...Jan 20, 2025·4 min read
Understanding Stress Tests, Resiliency Tests, and BCDRIn today’s fast-paced world, businesses and organizations are increasingly reliant on technology to ensure their day-to-day operations run smoothly. However, no system is completely immune to failure, so it’s important to perform various tests to ens...Jan 20, 2025·5 min read
Key Learnings from Generative AITypes of AI Technology Machine Learning (ML): Supervised ML Models: Models that use labeled data to predict future values or classify input. The system learns from past examples (input-output pairs) to make predictions on new data. Unsupervised M...Jan 15, 2025·3 min read
