Artificial Intelligence and the XLNet Model
I’m Jacob Lee, a high school senior living in Dubai, UAE. I’m originally from New Zealand and have lived in several countries around the world. Some of the things I enjoy doing is writing stories and developing games. Among these interests is my passion for programming — its consistent demand for problem-solving is what I find most engaging about it.
A year back I had always wanted to delve further into artificial intelligence, as it was a topic I had always heard and known about, but one that I never understood beyond the surface. As such, I joined the Inspirit AI course in Dubai with a couple of friends. After spending a few days learning about unfamiliar concepts like Neural Networks and Natural Language Processing, my friends and I put our knowledge to the test and made a facial emotion recognition. It turned out to be a success thanks to the tutelage of our instructor, Tyler Bonnen, who showed us how Convolutional Neural Networks could be used for image classification. The structure of the course, competence of instructors, and exposure to others with similar interests made this a great introduction to AI and encouraged me to pursue it further.
One of the most intriguing aspects about AI, in my opinion, is its tremendous versatility. You hear it all the time, about how AI can do x and y, and so I want to explore its use in the financial field. Economics and finance are subjects that I’m greatly passionate about, and so I think mixing it and AI would be a good way of gaining more experience with AI and showing others the wonders of the field.
To this end, I will be exploring a fairly new Natural Language Processing model called XLNet — a model well-suited to analysing business sentiment — through a three-part series. I’ll specifically be looking at the theory of it, with the three posts covering how it works, how it can be applied in real-life businesses, and its implications. This is aimed at those who are somewhat familiar with AI and are looking for areas to apply it in or to familiarise themselves with a new model. I hope that, by the end, it’s clear how XLNet works and the way it can be used by both individuals and corporations on varying scales, and that from this exploration of theory, one would be able to start coding and training their own XLNet model.
Thanks for reading! Hopefully the upcoming series seems interesting — if so, I’ll see you in the next one!
Jacob Lee is a Student Ambassador in the Inspirit AI Student Ambassadors Program. Inspirit AI is a pre-collegiate enrichment program that exposes curious high school students globally to AI through live online classes. Learn more at https://www.inspiritai.com/.