luffycodes
commited on
Commit
•
3ce286c
1
Parent(s):
848ef91
Create README.md
Browse files
README.md
ADDED
@@ -0,0 +1,53 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: llama2
|
3 |
+
---
|
4 |
+
---
|
5 |
+
tags:
|
6 |
+
- economics
|
7 |
+
- chatgpt
|
8 |
+
- llama
|
9 |
+
- vicuna
|
10 |
+
- tutorbot
|
11 |
+
- conversation
|
12 |
+
---
|
13 |
+
|
14 |
+
# Nash Model Card
|
15 |
+
|
16 |
+
## Github details
|
17 |
+
Please checkout the repo: https://github.com/luffycodes/Tutorbot-Spock-Bio.
|
18 |
+
|
19 |
+
## Model details
|
20 |
+
|
21 |
+
**Model type:**
|
22 |
+
Nash is an open-source educational tutoring chatbot trained by fine-tuning LLaMA and Vicuna model on synthetic student-tutorbot conversations generated using a specialized prompt.
|
23 |
+
|
24 |
+
**Model date:**
|
25 |
+
Nash was trained between July 2023 and August 2023.
|
26 |
+
|
27 |
+
**Organizations developing the model:**
|
28 |
+
The Spock team with members from Rice University and OpenStax.
|
29 |
+
|
30 |
+
## Training dataset
|
31 |
+
700 conversations generated using a [specialized prompt](https://github.com/luffycodes/Tutorbot-Spock-Bio/blob/main/prompts/conversation_gen/v3.txt) from GPT-4 based on OpenStax Economics, Microeconomics, and Macroeconomics textbook.
|
32 |
+
|
33 |
+
**Paper or resources for more information:**
|
34 |
+
https://arxiv.org/abs/2305.13272
|
35 |
+
|
36 |
+
**Code or resources for more information:**
|
37 |
+
Training on Nash is based on:
|
38 |
+
|
39 |
+
https://github.com/luffycodes/Tutorbot-Spock-Bio
|
40 |
+
|
41 |
+
If you use this work, please cite:
|
42 |
+
CLASS Meet SPOCK: An Education Tutoring Chatbot based on Learning Science Principles
|
43 |
+
https://arxiv.org/abs/2305.13272
|
44 |
+
```
|
45 |
+
@misc{sonkar2023class,
|
46 |
+
title={CLASS Meet SPOCK: An Education Tutoring Chatbot based on Learning Science Principles},
|
47 |
+
author={Shashank Sonkar and Lucy Liu and Debshila Basu Mallick and Richard G. Baraniuk},
|
48 |
+
year={2023},
|
49 |
+
eprint={2305.13272},
|
50 |
+
archivePrefix={arXiv},
|
51 |
+
primaryClass={cs.CL}
|
52 |
+
}
|
53 |
+
```
|