  Recently, there has been increasing activity in using deep learning for
software engineering, including tasks like code generation and summarization.
In particular, the most recent coding Large Language Models seem to perform
well on these problems. In this technical report, we aim to review how these
models perform in code explanation/summarization, while also investigating
their code generation capabilities (based on natural language descriptions).
