1 repo
Awesome GitHub RepositoriesInstruction Tuning
Methods and datasets for adapting pre-trained language models to follow specific user commands and instructions.
Distinguishing note: Focuses on the fine-tuning process for instruction following, distinct from generic model training or inference.
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Awesome Instruction Tuning GitHub Repositories
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- tatsu-lab/stanford_alpaca
tatsu-lab/stanford_alpaca
30,266View on GitHubThis project provides an end-to-end framework for adapting large language models to follow user instructions through supervised fine-tuning. It functions as a comprehensive training pipeline that enables the creation of specialized assistant models by minimizing the difference between predicted outputs and target responses within structured instruction datasets. The framework distinguishes itself by integrating synthetic data generation with memory-efficient training techniques. It utilizes powerful language models to iteratively expand small sets of human-written seeds into diverse, high-qua
Adapting pre-trained large language models to follow user commands by training them on structured datasets of instructions and responses.
Pythondeep-learninginstruction-followinglanguage-model
