Pricing and Competition for Generative AI
Authors: Rafid Mahmood
NeurIPS 2024 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | This is primarily a theory-driven paper. The only numerical analysis is a computational example which we detail in the main paper. |
| Researcher Affiliation | Collaboration | Rafid Mahmood NVIDIA & University of Ottawa rmahmood@nvidia.com |
| Pseudocode | No | The paper does not contain any pseudocode or algorithm blocks. |
| Open Source Code | No | This is primarily a theory-driven paper. The only numerical analysis is a computational example which we detail in the main paper. |
| Open Datasets | No | We do not perform any experiments involving datasets. |
| Dataset Splits | No | The paper is theoretical and does not mention dataset splits for validation. |
| Hardware Specification | No | There is no compute required. |
| Software Dependencies | No | The paper is theoretical and does not mention specific software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not detail an experimental setup with hyperparameters or training settings. |