Tutorial: Large Language Models for Code

The main tutorial on understanding large language models. : Llms tutorial

• This part borrows code from Andrej Karpathy

The tutorial on few-shot learning for code: Maml tutorial

• For the results on how few-shot learning can assist with code understanding tasks, take a look at our paper Evaluating few-shot and Contrastive learning Methods for Code Clone Detection
• Some parts of the codes in this section are borrowed from Meta Learning Bert

The tutorial on adapters: Adapters tutorial

• Learn how to use adapters for different code-related topics through our papers listed below:

  • Model-Agnostic Syntactical Information for Pre-Trained Programming Language Models

  • Multilingual Adapter-based Knowledge Aggregation on Code Summarization for Low-Resource Languages

  • Utilization of Pre-trained Language Model for Adapter-based Knowledge Transfer in Software Engineering