Instal the new version for windows Arto3/12/2024 Three different types of explanations were available for students for each explainable code snippet a line-by-line explanation, a list of important concepts, and a high-level summary of the code. We modified the e-book to make LLM-generated code explanations accessible through buttons next to code snippets in the materials, which allowed us to track the use of the explanations as well as to ask for feedback on their utility. In this paper, we report on our experiences generating multiple code explanation types using LLMs and integrating them into an interactive e-book on web software development. However, it is unclear whether and how students might engage with such explanations. Recent versions of these models, such as OpenAI Codex and GPT-3, can generate code and code explanations. Download a PDF of the paper titled Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book, by Stephen MacNeil and Andrew Tran and Arto Hellas and Joanne Kim and Sami Sarsa and Paul Denny and Seth Bernstein and Juho Leinonen Download PDF Abstract:Advances in natural language processing have resulted in large language models (LLMs) that are capable of generating understandable and sensible written text.
0 Comments
Leave a Reply.AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |