THUDM/P-tuning
A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
This method helps machine learning researchers efficiently adapt large language models (LLMs) like GPT to perform specific tasks, such as question answering or sentiment analysis. It takes a pre-trained LLM and a small set of task-specific examples, then outputs a fine-tuned model ready for specialized applications. This is for AI/NLP researchers and practitioners working on customizing advanced language models.
938 stars. No commits in the last 6 months.
Use this if you need to optimize the performance of a large language model on a specific natural language processing task with limited training data, without the computational cost of full fine-tuning.
Not ideal if you are looking for an out-of-the-box solution for end-user text generation or analysis without involving machine learning model development.
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Language
Python
License
MIT
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Last pushed
Oct 06, 2022
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