An LLM- and VLM-powered workflow integrated with knowledge graphs and model-driven engineering is proposed for analyzing RISC-V semiconductor supply chain data and resilience.
In: Proceed- ings of the 1st workshop on knowledge graphs and large language models (kaLLM 2024)
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GenAI-Driven Approach to RISC-V Supply Chain Exploration
An LLM- and VLM-powered workflow integrated with knowledge graphs and model-driven engineering is proposed for analyzing RISC-V semiconductor supply chain data and resilience.