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Vincent Gurgul

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#large language models Open access Sep 2026

Toward scalable generative AI: efficient language model distillation via zero-shot rationales

This paper investigates an efficient approach for distilling Large Language Models (LLMs) into smaller, application-specific models using zero-shot Chain of Thought (CoT) rationale generation and Optimization by Prompting (OPRO). To address the challenges of deploying computationally intensive generative AI for narrow...

Lukas Vöge, Vincent Gurgul, Stefan Lessmann · 0 citations

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