Evaluating LLMs in Quality Engineering: An AI Test Architect’s Perspective
Every time a new frontier model drops, a familiar frenzy ripples through the QA engineering community. The immediate reaction is a scramble to upgrade our pipelines to the latest release, operating on the assumption that a newer model automatically translates to better testing outcomes. Is the upgrade actually justified? The reality is that most QA […]
The Architect’s Choice: Graph vs. RAG vs. GraphRAG in AI-Driven Software Testing
Choosing between RAG, Graph, and GraphRAG for test case generation can be challenging. Which approach fits your project, and where does each fall short? Here’s my perspective. In the rapidly evolving landscape of AI-driven quality assurance, architects often face a pivotal question: How do we best represent our application’s knowledge to generate the most effective […]
Why Vectors Enhance AI Performance in Linear Regression
Vectors in AI plays a very crucial role for fundamental operations for different AI Based applications. Most of the time the underline calculation are hidden to the naked eyes and has been done using python bases libraries. Let’s try to understand the concept of vectors in simple regression problem. Dataset :https://www.kaggle.com/datasets/abhishek14398/salary-dataset-simple-linear-regression/data Consist of three columns […]
Difference between Native\Hybrid\Webapp
OVERVIEW In Today’s World, Mobile, without apps is of very limited use, from ordering food to getting a ride, from connecting on social networking sites to playing games, all the major activities are handled by Apps. Apps on mobile can be divided into three main categories Native Apps Hybrid Apps Web apps Major Platforms : […]