Knowledge Distillation of Black-Box Large Language Models (2024)
Knowledge distillation (KD) enhances the performance of smaller models by transferring knowledge from proprietary large language models (LLMs) like GPT-4. This method aims to improve the capabilities of smaller models while utilizing the strengths of black-box teachers.
arxiv.org
2 min
11h ago
Knowledge Distillation of Black-Box Large Language Models (2024)
Knowledge distillation (KD) enhances the performance of smaller models by transferring knowledge from proprietary large language models (LLMs) like GPT-4. This method aims to improve the capabilities of smaller models while utilizing the strengths of black-box teachers.
arxiv.org
2 min
11h ago
Knowledge Distillation of Black-Box Large Language Models (2024)
Knowledge distillation (KD) enhances the performance of smaller models by transferring knowledge from proprietary large language models (LLMs) like GPT-4. This method aims to improve the capabilities of smaller models while utilizing the strengths of black-box teachers.
arxiv.org
2 min
11h ago
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