HDLCoRe addresses a critical gap in LLM capabilities: generating reliable hardware description language code without hallucinations or errors.

• Combines prompt engineering techniques with retrieval-augmented generation to improve output quality
• Overcomes the challenge of data scarcity in hardware design domains
• Provides a training-free solution that enhances existing LLMs for specialized engineering tasks

This research is particularly valuable for hardware engineers seeking to leverage AI for digital design while maintaining code reliability and correctness.

HDLCoRe: A Training-Free Framework for Mitigating Hallucinations in LLM-Generated HDL