NLP City
Name
nguyen-thanh_n-meng-eecs-2024-thesis.pdf
Description
Thesis PDF
Size
11.78 MB
Format
Adobe PDF
Checksum (MD5)
ed576918e25236a36c8ab65d8c3e9d9f
Author(s)
Nguyen, Thanh P. Q.
Advisor(s)
Williams, Sarah
Date Issued
February 2024
Publisher
Massachusetts Institute of Technology
Abstract
The rapid advancements in Artificial Intelligence (AI) have led to the development of complex and powerful models, resulting in opaque “black boxes” that hinder human understanding of their decision-making processes. This is especially true in the field of Natural Language Processing as large language models have become widely used and popularized in the form of chatbots and AI assistants. While there have been many attempts at explaining these models and concepts, most of them are directed at an audience already familiar with machine learning concepts. In this paper, I propose an approach to understanding existing concepts and models in NLP by simplifying them into intuitive narratives of towns and cities. By leveraging this more familiar context, the hope is to provide more engagement and information retention to non-technical audience members. The complete narrative can be found at nlp-city.vercel.app.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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