CodeBERT is a special kind of computer model that can help people understand computer code and information written in English. It is called a bimodal model because it can understand both programming language (PL) and natural language (NL). This model can help people do many things, like find specific code that they need or automatically write descriptions of how code works.
How Does CodeBERT Work?
CodeBERT is made with a special kind of neural network called a Transformer. This network helps
CodeT5 is a new model that uses Transformer technology for better code understanding and generation. It is based on the T5 architecture, which has been extended to include two identifier tagging and prediction tasks that help the model to better leverage the token type information from programming languages. CodeT5 uses a bimodal dual learning objective for a bidirectional conversion between natural language and programming language, which helps improve the natural language-programming language
CuBERT: Advancements in Code Understanding with BERT-based Models
In the world of programming, understanding code is of utmost importance. The proper understanding of programming language is the line that separates novices and experts in the field. To enable machines to understand code better, researchers and data scientists have been working to harness the power of machine learning and natural language processing (NLP) to deepen the code's understanding. Along these lines, Code Understanding B