This post provides an overview of implementing semantic search. Why? Because too often, we notice testers skip testing more complex features like autocomplete. This might be ok in most applications. But in domain specific applications, testing autocomplete capabilities of the product is important. Since testers can benefit from understanding implementation details, in this post, we will look at how autocomplete […]
Build a semantic search tool using FAISS
Context-based question answering using LLM
Companies are going to want to query their own internal documents – especially with the rise of LLMs and improvements in AI. Qxf2 has already heard of several CEOs that want to use AI/ML models to glean insights from internal knowledge stores. What does this mean for a tester? Well, you can expect to test such systems in the coming […]
Baseline Model Comparison for Performance Evaluation
Machine learning models evolve. As a tester, how do we know the newer version of the model is better? How do we know that the model did not get worse in other areas? The most intuitive approach would be to design a ‘good’ labelled dataset and then calculate the evaluation score like the F1 score for the model under test. […]