This AI paper shows an avenue for creating large amounts of instruction data with varying levels of complexity using LLM instead of humans

The results of training LLMs on data from open-domain instruction-following are phenomenal. However, manually developing this kind of instructional data takes time and effort. Furthermore, humans may need help creating highly complex instructions. Many recent natural language processing (NLP) community efforts have focused on teaching large language models to understand better and follow instructions. Recent […]

The post This AI paper shows an avenue for creating large amounts of instruction data with varying levels of complexity using LLM instead of …

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