This paper provides a comprehensive survey on the methods used for training and serving foundation models, which have become vital in areas like natural language processing and visual recognition. The…
Continue readingThis study provides an in-depth review of the evolution of large language model (LLM) training techniques and inference deployment technologies. The paper discusses various aspects of training, including data preprocessing,…
Continue readingThe paper introduces CoLLiE, a library that assists in the collaborative training of large language models. It uses 3D parallelism, parameter-efficient fine-tuning (PEFT) methods, and a range of optimizers like…
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