tictactoe-gpt-finetuning 0.1.3

Examples

Generate a game:

from tictactoe_gpt_finetuning import tictactoe
print( tictactoe.generate_random_game() )

Generate many games:

from tictactoe_gpt_finetuning import tictactoe
print( tictactoe.generate_n_games() )

Initialize and use the game board to place in top left:

from tictactoe_gpt_finetuning import tictactoe
b = tictactoe.BoardState()
b.make_move( 0, 0, 'x' )
print( b )
# output:
# x - -
# - - -
# - - -

Train a Model

We can compare inputs to outputs of the model, and compare predictions of the model before and after finetuning.

from tictactoe import Model, finetune, compare_tictactoe_predictions
gpt = Model()

# See what predictions look like before finetuning
compare_tictactoe_predictions( gpt )

# Fine-tune the model
finetune( gpt, n_epochs=10 )

# See what new predictions look like after finetuning
compare_tictactoe_predictions