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dataPre/KingBase2019
dataPre/KingBase2019
 
 
testToken
testToken
 
 
tokenizer
tokenizer
 
 
.gitignore
.gitignore
 
 
2200vsCustV1.gif
2200vsCustV1.gif
 
 
README.md
README.md
 
 
configurator.py
configurator.py
 
 
customGen.py
customGen.py
 
 
customModel.py
customModel.py
 
 
customModelV2.py
customModelV2.py
 
 
customPreProc.py
customPreProc.py
 
 
customPreProcV2.py
customPreProcV2.py
 
 
customToken.py
customToken.py
 
 
customTokenImp.py
customTokenImp.py
 
 
customTokenV1.py
customTokenV1.py
 
 
customTokenV2.py
customTokenV2.py
 
 
customTrain.py
customTrain.py
 
 
customTrainV2.py
customTrainV2.py
 
 
dataPrep.py
dataPrep.py
 
 
fenGen.py
fenGen.py
 
 
preProcV2.py
preProcV2.py
 
 
prompt.txt
prompt.txt
 
 
stateGen.py
stateGen.py
 
 
test.py
test.py
 
 
testModel.py
testModel.py
 
 
testModelV3.py
testModelV3.py
 
 
testModeliLabV3.py
testModeliLabV3.py
 
 
testModelilabV2.py
testModelilabV2.py
 
 
tokenNewTrain.py
tokenNewTrain.py
 
 
tokenTest.py
tokenTest.py
 
 
tokenV2.py
tokenV2.py
 
 
tokeniLabV3.py
tokeniLabV3.py
 
 
tokening.py
tokening.py
 
 
trainCustTokNormMod.py
trainCustTokNormMod.py
 
 
trainNew.py
trainNew.py
 
 
trainTest.py
trainTest.py
 
 
trainV3.py
trainV3.py
 
 
trainV4.py
trainV4.py
 
 
trainiLabV3.py
trainiLabV3.py
 
 
trainv2.py
trainv2.py
 
 

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ChessGPT

This is my first attempt at Generative AI models. Once Im happy with the next word generation, will make ai that implements Q-learning and "searches" to "fine-tune" model to be able to play semi-professional players

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