Code Intelligence
Code intelligence leverages machine learning, particularly large language models (LLMs), to improve software development processes by automating tasks like code generation, bug fixing, and documentation. Current research emphasizes developing and evaluating open-source LLMs for code, focusing on model architectures like Mixture-of-Experts and Transformers, and exploring techniques like prompt tuning to enhance performance and reduce reliance on extensive fine-tuning datasets. This field significantly impacts software engineering productivity and facilitates advancements in broader areas of artificial intelligence by bridging the gap between natural and programming languages.
Papers
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