In my previous post, I talked about me building Konjugate. At the time, I only had Engineers, Scientists and Mathematicians in my mind. However, as work progressed along this direction, and after a lot of feedbacks were received, it occured to me that building toolboxes for separate use cases that are not exactly in the STEM field, but could be supported by the STEM field would be an interesting idea. Fintech seemed like a domain that could benefit a lot from Konjugate, and extending Konjugate towards that seemed like a no-brainer since a lot of data is available publicly, and a lot of it are timeseries. Therefore, I decided to go ahead and create a toolbox, which packages an addon and a plugin that people can easily install from within Konjugate app. I have recorded a comprehensive video describing different things one could do with the toolbox, which I have embedded below. As always, I'd like to know your thoughts about this; please comment here or on YouTube, or send me an email...
In my career, I have worked on things that requires knowledge and skills in a wide variety of domains. And, while being a generalist, I have explored things to a great level of depth that I can produce results almost as good as any experts in these fields, although I would be a bit slower than the people who have been doing the same kind of things over and over again. The advent of large language models is indeed a boon for someone like me. Indeed, it's a tool that helps you supercharge the knowledge that you already have, and, it can help you learn a lot more at a lot little time, provided you use it in the right way. In the past three weeks, I have been working on a project, named Konjugate. Its a simulation tool centered around the idea that modeling interactions is the way to model things quickly. Imagine that you are describing a system with multiple interacting components, and you make a mental map of things. It is more than likely that your mental map is full of components a...