| | --- |
| | license: mit |
| | --- |
| | Model trained on chess "narratives" created from PGN notation from a large set of games downloaded from The Week in Chess (https://theweekinchess.com/). A script was run to convert the PGN notation to english text, and the model was finetuned on that. The approach is described in the paper [_Navigating Human Language Models with Synthetic Agents_](https://arxiv.org/abs/2008.04162). |
| |
|
| | # Useful Prompts: |
| | * "The game begins" |
| | * "In move X" // X can be a number between 1 and approximately 100 |
| | * "White/Black moves X from Y" // X is the piece (pawn, bishop, knight, rook, queen, king) and Y is the square (e.g. e2) |
| | * "The game begins as white uses the X opening" // X is a known opening move such as Sicilian |
| | * "White moves X from" // X is the piece (pawn, bishop, knight, rook, queen, king) |
| | * "Black moves X from" // X is the piece (pawn, bishop, knight, rook, queen, king) |
| |
|
| | # Citation: |
| | ``` |
| | @misc{feldman2020navigating, |
| | title={Navigating Human Language Models with Synthetic Agents}, |
| | author={Philip Feldman and Antonio Bucchiarone}, |
| | year={2020}, |
| | eprint={2008.04162}, |
| | archivePrefix={arXiv}, |
| | primaryClass={cs.AI} |
| | } |
| | ``` |
