Abstract: Code generation has gained increasing attention as a task to automate software development by transforming high-level descriptions into executable code. While large language models (LLMs) ...

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 ...

OpenAI is rolling out a new version of ChatGPT Images that promises better instruction-following, more precise editing, and up to 4x faster image generation speeds. The new model, dubbed GPT Image 1.5 ...

How one era changed everything about the culture — and why we’re so nostalgic for its creations. Gen X How one era changed everything about the culture — and why we’re so nostalgic for its creations.

This is an implementation of a completion engine that parses type safe programs incrementally, guaranteeing that intermediate outputs can be completed to type-safe programs. The completion enginge can ...

A new technical paper titled “CircuitGuard: Mitigating LLM Memorization in RTL Code Generation Against IP Leakage” was published by researchers at University of Central Florida. “Large Language Models ...

Abstract: Large language models (LLMs) play a crucial role in intelligent code generation tasks. Most existing work focuses on pretraining or fine-tuning specialized code LLMs, e.g., CodeLlama.

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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 ...

Meta FAIR released Code World Model (CWM), a 32-billion-parameter dense decoder-only LLM that injects world modeling into code generation by training on execution traces and long-horizon ...

According to Yann LeCun on Twitter, the 'Code World Model' approach enables AI systems to generate code by simulating the outcome of executing instructions and ...