If the big bottleneck in your Rust development workflow is compile time, there are at least five ways you can fix it.

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 ...

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: Modern compilers, such as LLVM, are complex. Due to their complexity, manual testing is unlikely to suffice, yet formal verification is difficult to scale. End-to-end fuzzing can be used, ...

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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 ...

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 ...

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 code generated by large language models (LLMs) has improved some over time — with more modern LLMs producing code that has a greater chance of compiling — but at the same time, it's stagnating in ...

LLMs have made impressive strides in generating code for various programming tasks. However, they mostly rely on recognizing patterns from static code examples rather than understanding how the code ...