Resource-Efficient Fine-Tuning of Compact LLMs for Supply Chain Operations: A Hybrid QLoRA and RAG Approach
Large Language Models (LLMs) offer transformative potential for enterprise automation, particularly within the highly complex and data-dense environments of transportation, supply chain management, and intralogistics. However, deploying foundational models in these specialized domains frequently results in a critical f...