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  • title: Manual curation vs kAl distillation: Lessons learned from instruction following and feedback fine-tuning
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            Manual curation vs kAl distillation: Lessons learned from instruction following and feedback fine-tuning
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            Manual curation vs kAl distillation: Lessons learned from instruction following and feedback fine-tuning

            Dec 15, 2023

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            Nazneen Rajani

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            Title: Manual curation vs. AI distillation: Lessons learned for instruction following and feedback fine-tuning Abstract: There has been a slew of work in training helpful conversational agents using Large language models (LLMs). These models draw upon diverse datasets, including open-source repositories, private data, and even synthetic data generated from LLMs. However, curating datasets for SFT and RLHF involves critical decisions, such as defining task distributions, data volume, prompt len…

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