Minh Hua
Biographic Data
| ID | 9774087 |
|---|---|
| NAME | Minh Hua |
| GIVEN NAMES | Minh |
| FAMILY NAME | Hua |
| SIGNATURE | HUA M |
| ORCID | 0009-0007-2282-6021 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
How to Do Things with Deep Learning Code
The premise of this article is that a basic understanding of the composition and functioning of large language models is critically urgent. To that end, we extract a representational map of OpenAI’s GPT-2 with what we articulate as two classes of deep learning code, that which pertains to the model and that which underwrites applications built around the model. We then verify this map through case studies of two popular GPT-2 applications: the te…
Playing With Unicorns
AI Dungeon 2 is an indie text adventure game that caught traction within the gaming and hobbyist machine learning communities for its promise of infinite customizable adventures, which are generated and narrated by GPT-2, OpenAI’s 1.5 billion parameter language model. Samples of gameplay illustrate AID’s remarkable linguistic competence and domain knowledge, as well as its capacity for what can only be described as wackiness. More striking are AI…
No prominent works on this page.
Playing With Unicorns
AI Dungeon 2 is an indie text adventure game that caught traction within the gaming and hobbyist machine learning communities for its promise of infinite customizable adventures, which are generated and narrated by GPT-2, OpenAI’s 1.5 billion parameter language model. Samples of gameplay illustrate AID’s remarkable linguistic competence and domain knowledge, as well as its capacity for what can only be described as wackiness. More striking are AI…
How to Do Things with Deep Learning Code
The premise of this article is that a basic understanding of the composition and functioning of large language models is critically urgent. To that end, we extract a representational map of OpenAI’s GPT-2 with what we articulate as two classes of deep learning code, that which pertains to the model and that which underwrites applications built around the model. We then verify this map through case studies of two popular GPT-2 applications: the te…
Adventure (2 works) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Computer Science (1 work) · Crowdsourcing (1 work) · Deep learning (1 work) · Digital Humanities and Scholarship (1 work) · Ethics and Social Impacts of AI (1 work) · Expansive (1 work) · Experiential learning (1 work)