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Generation of programming code sequences token-by-token by feeding previous outputs back into the model decoder.
Distinct from Autoregressive Text Generation: Specifically targets source code modality rather than general natural language text.
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CodeGen 是一个经过训练的大语言模型与程序合成模型,旨在生成功能性源代码。它利用神经网络架构,根据自然语言描述或部分代码片段合成可执行代码。 该模型通过预测并填充程序中缺失的代码部分,实现了自动化程序合成与 AI 辅助编码。它将自然语言描述转换为功能性编程逻辑,以自动化样板代码与业务逻辑的创建。
Implements an autoregressive mechanism to produce source code incrementally by predicting the next token based on previous context.