Wiebke Denkena
Biographic Data
| ID | 2744528 |
|---|---|
| NAME | Wiebke Denkena |
| GIVEN NAMES | Wiebke |
| FAMILY NAME | Denkena |
| SIGNATURE | DENKENA W |
| AFFILIATIONS | University of Amsterdam |
| ORCID | 0000-0003-2728-7024 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 11 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
The great Transformer: Examining the role of large language models in the political economy of AI
In recent years, AI research has become more and more computationally demanding. In natural language processing (NLP), this tendency is reflected in the emergence of large language models (LLMs) like GPT-3. These powerful neural network-based models can be used for a range of NLP tasks and their language generation capacities have become so sophisticated that it can be very difficult to distinguish their outputs from human language. LLMs have rai…
The great Transformer: Examining the role of large language models in the political economy of AI
In recent years, AI research has become more and more computationally demanding. In natural language processing (NLP), this tendency is reflected in the emergence of large language models (LLMs) like GPT-3. These powerful neural network-based models can be used for a range of NLP tasks and their language generation capacities have become so sophisticated that it can be very difficult to distinguish their outputs from human language. LLMs have rai…
The great Transformer: Examining the role of large language models in the political economy of AI
In recent years, AI research has become more and more computationally demanding. In natural language processing (NLP), this tendency is reflected in the emergence of large language models (LLMs) like GPT-3. These powerful neural network-based models can be used for a range of NLP tasks and their language generation capacities have become so sophisticated that it can be very difficult to distinguish their outputs from human language. LLMs have rai…
Adversarial Robustness in Machine Learning (1 works) · Economics (1 works) · Ethics and Social Impacts of AI (1 works) · Law (1 works) · Political economy (1 works) · Political science (1 works) · Politics (1 works) · Sociology (1 works) · Topic Modeling (1 works)