Abstract
dc:description.abstractThe 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.
Degree
thesis:*- Name thesis:degree_name
- Master
- Department dc:contributor.department
- Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2024
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Nguyen, Thanh P. Q.
- Advisor dc:contributor.advisor
-
- Williams, Sarah
Rights
dc:rights- Statement dc:rights
-
- In Copyright - Educational Use Permitted
- Copyright retained by author(s)
- Licence dc:rights.uri
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- https://hdl.handle.net/1721.1/153882
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/153882