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Poly-Coder is an open-source AI code generation model developed by researchers at Carnegie Mellon University. The team behind Poly-Coder includes:
Frank Xu – Ph.D. student in the School of Computer Science
Uri Alon – Assistant Professor in the Machine Learning Department
Graham Neubig – Associate Professor in the Language Technologies Institute
Vincent Hellendoorn – Assistant Professor in the School of Computer Science
These researchers introduced Poly-Coder in March 2022 as a multilingual code generation model based on OpenAI's GPT-2 architecture. It was trained on a dataset of 249GB of code spanning 12 programming languages, including C, Python, JavaScript, and Java. Notably, Poly-Coder demonstrated superior performance in generating C code compared to other models, including Codex.
Frank Xu – Ph.D. student in the School of Computer Science
Uri Alon – Assistant Professor in the Machine Learning Department
Graham Neubig – Associate Professor in the Language Technologies Institute
Vincent Hellendoorn – Assistant Professor in the School of Computer Science
These researchers introduced Poly-Coder in March 2022 as a multilingual code generation model based on OpenAI's GPT-2 architecture. It was trained on a dataset of 249GB of code spanning 12 programming languages, including C, Python, JavaScript, and Java. Notably, Poly-Coder demonstrated superior performance in generating C code compared to other models, including Codex.
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