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Train and fine-tune Alpaca, an instruction-following LLaMA model with 52K data points.
A collection of multimodal large language models and their latest advances.
An extensible toolkit for finetuning and inference of large language models, enabling 'large models for all'.
A curated list of must-read papers on large language model agents and their applications.
An automatic evaluator for instruction-following language models with human-validated, high-quality, cheap, and fast evaluation.
An open-source framework for building knowledgeable large language models with fine-tuning capabilities.
A comprehensive survey on knowledge distillation techniques for large language models.
A curated collection of open-source datasets for training instruction-following large language models (LLMs) like ChatGPT and LLaMA.
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