4  Software solutions for explaining methods for explaining machine learning models

This is where I need feedback in arranging this chapter and subsequent chapters

In the second chapter we dived into how geometric representations can bring the fundamental idea behind each XAI methods closer to the users. In a similar vein, as an attempt at bridging the gap between XAI and their users, we propose two simplified implementations of XAI methods.

The first to be minimally implemented is Anchors. While Anchors has not been widely adopted in the space of XAI, there is stil potential for this method to be useful in the space of modern LLMs. There are several decisions that were taken to simplifiy and make the fundamental ideas more understandable, which will be relayed below.