Build a microVM using Firecracker

This post will cover how to create a custom microVM using Firecracker. We will add a simple Flask app to the microVM. By doing so, you will learn how to install custom packages to your own microVM. This post assumes that you have used Firecracker and tried out a basic example already. Why this post? AWS Lambda stands out as […]

A brief introduction to Accessibility Testing using Axe

This post will discuss accessibility testing – specifically the portions of using Axe on your browser as well as integrating Axe with your automated test suite. We will also briefly discuss few nuances of introducing Accessibility testing into your team’s workflow. This post will NOT cover the basics of Accessibility tests, the standards used, etc. Overview Qxf2’s clients are startups […]

Data Validation Using Assistants API: Exploring AI-driven approach

This post extends my previous exploration of conducting data validation tasks using Large Language Models like ChatGPT. To provide context, at Qxf2, we execute a series of data quality tests using Great Expectations. Initially, we explored the possibility of employing ChatGPT for these validations, but it faced challenges in performing them effectively. Now, with the recent release of more advanced […]

Fine Tuning Model Evaluation using ROC and Precision Recall curves

Evaluating machine learning models is crucial for understanding their performance characteristics. In this blog post, we explore how ROC and Precision Recall curves can be used to improve the way we evaluate models. Additionally, we delve into the practical aspect of using these curves across various thresholds, customizing the model for specific requirements and achieving optimal performance. Why this post […]