Understanding Text Classification Models with LIME

Why this post? I’ve always been wondering how Machine learning models functions as black boxes, making predictions based on patterns learned from data. Despite the impressive accuracy, understanding the factors and features that influenced a particular prediction and the decision-making process is crucial and challenging task. The lack of transparency in these models adds complexity making their internal workings less […]

Tcases: Auto-generating API Tests

Most development teams that Qxf2 works with, describe and document their APIs using Open API specification. This means, there is a set structure for folks to write tests. Handcrafting the simple test cases can be cumbersome and time consuming. Given there is a set structure, we started to look out for solutions that could create API tests based on an […]

Testing Charts using GPT-4 with Vision model

This post builds upon my prior exploration of testing charts with Transformers using the Visual Question Answering approach. I had presented charts to Transformers models like Pix2Struct and matcha from Google (which were specifically trained on charts) and then queried with questions. The outcomes proved satisfactory when the charts were well-defined with clearly labeled data points. Now, with the recent […]

Testing DALL-E by creating single panel cartoons

I tested DALL-E for a specific real-world use case. I wanted to see how good it was for producing single panel cartoons. My testing has uncovered several promising aspects, some problems that need to be addressed and an interesting testing technique for DALL-E and ChatGPT like applications. I tried summarizing my findings in a blog post like an engineer would. […]