Abstract: Large Language Models (LLMs) have shown great potential in automating code generation; however, their ability to generate accurate circuit-level SPICE code remains limited due to a lack of ...

SAN FRANCISCO--(BUSINESS WIRE)--CodeRabbit, the leading AI-powered code review platform, today released the “State of AI vs Human Code Generation”, a comprehensive new report analyzing the quality of ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China Automated programming has become a powerful tool for solving real-world problems. Code generation, in ...

Abstract: Automated code generation has revolutionized software development, enabling developers to accelerate project timelines and reduce manual coding errors significantly. As reliance on these ...

According to @AIatMeta, Meta FAIR has introduced the Code World Model (CWM), a 32-billion-parameter research model engineered to advance world modeling in code ...

Find the location of the error code in the project. the format shuld be given in {path}{line}. (line optional) note that the relative path and code generation ...

Software Development Life Cycle Perspective A Survey of Benchmarks for Code Large Language Models and Agents from Xi’an Jiaotong University HumanEval Evaluating Large Language Models Trained on Code ...

I started my career as an architect and coder working on AI algorithms for image processing, natural language processing, and search. Flash-forward to today, my coding is limited to low-code platforms ...

The goal of generative AI tools, powered by large language models (LLMs), is to finish the task assigned to them; to provide a complete response to a prompt. As is now well-established, models ...