Spaces:
Running
Running
Update README.md
Browse files
README.md
CHANGED
|
@@ -29,6 +29,9 @@ We are thrilled to introduce a specialised suite of **68 large language models (
|
|
| 29 |
|
| 30 |
For further details on this and citation, please refer to the paper, which is accessible from [here](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4963618).
|
| 31 |
|
|
|
|
|
|
|
|
|
|
| 32 |
|
| 33 |
Stay tuned for upcoming updates and new features for FinText. We expect to launch stages 2 and 3 within next months. 🎉
|
| 34 |
|
|
@@ -36,9 +39,6 @@ Stay tuned for upcoming updates and new features for FinText. We expect to launc
|
|
| 36 |
<strong>Models are available for download under the Creative Commons Attribution Non Commercial 4.0 license (cc-by-nc-4.0), which prohibits any commercial use.</strong>
|
| 37 |
</div>
|
| 38 |
|
| 39 |
-
Suggested Citation:
|
| 40 |
-
|
| 41 |
-
Rahimikia, Eghbal and Drinkall, Felix, Re(Visiting) Large Language Models in Finance (September 21, 2024). Available at SSRN: https://ssrn.com/abstract=4963618 or http://dx.doi.org/10.2139/ssrn.4963618
|
| 42 |
|
| 43 |
</div> <div style="font-size: 0.8em; margin-top: 20px; text-align: justify;"> This project is supported by several key resources and institutions. We would like to acknowledge the invaluable assistance provided by Research IT and the use of the Computational Shared Facility at The University of Manchester. The project also benefited from the resources of the N8 Centre of Excellence in Computationally Intensive Research (N8 CIR), supported by the N8 research partnership and the Engineering and Physical Sciences Research Council (EPSRC) under Grant No. EP/T022167/1. The N8 CIR is coordinated by the Universities of Durham, Manchester, and York. Additionally, we are grateful for the financial support provided by Digital Futures at The University of Manchester, the Alan Turing Institute, and the Alliance Manchester Business School (AMBS). We are grateful to AMBS and the Oxford-Man Institute of Quantitative Finance for providing internal server access, which was essential for completing this project successfully. </div>
|
| 44 |
|
|
|
|
| 29 |
|
| 30 |
For further details on this and citation, please refer to the paper, which is accessible from [here](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4963618).
|
| 31 |
|
| 32 |
+
Rahimikia, Eghbal and Drinkall, Felix, Re(Visiting) Large Language Models in Finance (September 21, 2024). Available at SSRN: https://ssrn.com/abstract=4963618 or http://dx.doi.org/10.2139/ssrn.4963618
|
| 33 |
+
|
| 34 |
+
|
| 35 |
|
| 36 |
Stay tuned for upcoming updates and new features for FinText. We expect to launch stages 2 and 3 within next months. 🎉
|
| 37 |
|
|
|
|
| 39 |
<strong>Models are available for download under the Creative Commons Attribution Non Commercial 4.0 license (cc-by-nc-4.0), which prohibits any commercial use.</strong>
|
| 40 |
</div>
|
| 41 |
|
|
|
|
|
|
|
|
|
|
| 42 |
|
| 43 |
</div> <div style="font-size: 0.8em; margin-top: 20px; text-align: justify;"> This project is supported by several key resources and institutions. We would like to acknowledge the invaluable assistance provided by Research IT and the use of the Computational Shared Facility at The University of Manchester. The project also benefited from the resources of the N8 Centre of Excellence in Computationally Intensive Research (N8 CIR), supported by the N8 research partnership and the Engineering and Physical Sciences Research Council (EPSRC) under Grant No. EP/T022167/1. The N8 CIR is coordinated by the Universities of Durham, Manchester, and York. Additionally, we are grateful for the financial support provided by Digital Futures at The University of Manchester, the Alan Turing Institute, and the Alliance Manchester Business School (AMBS). We are grateful to AMBS and the Oxford-Man Institute of Quantitative Finance for providing internal server access, which was essential for completing this project successfully. </div>
|
| 44 |
|