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@@ -18,7 +18,7 @@ VerilogProtoModel is a predictive model for Verilog next-token prediction, desig
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  ### Model Description
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- VerilogProtoModel is developed to predict the next token in Verilog code, aiming to enhance coding efficiency and accuracy. The model was fine-tuned on a large dataset of Verilog code, with significant preprocessing to clean and anonymize the data. It achieved a 52% accuracy in predicting the correct next token out of approximately 40,000 possibilities, showcasing its potential to improve the coding process for hardware description languages.
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  - **Developed by:** Von Davis
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  - **Model type:** GPT-2
 
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  ### Model Description
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+ VerilogProtoModel is developed to predict the next token in Verilog code, aiming to enhance coding efficiency and accuracy. The model was fine-tuned on a large dataset of Verilog code, with significant preprocessing to clean and anonymize the data. It achieved 52% accuracy in predicting the correct next token out of approximately 40,000 possibilities, showcasing its potential to improve the coding process for hardware description languages.
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  - **Developed by:** Von Davis
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  - **Model type:** GPT-2