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Projects in Awesome Lists tagged with p-tuning
A curated list of projects in awesome lists tagged with p-tuning .
https://github.com/phoebussi/alpaca-cot
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台，我们欢迎开源爱好者发起任何有意义的pr！
alpaca chatglm chatgpt cot instruction-tuning llama llm lora moss p-tuning parameter-efficient pytorch tabul tabular-data tabular-model
Last synced: 22 Dec 2024
https://github.com/PhoebusSi/Alpaca-CoT
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台，我们欢迎开源爱好者发起任何有意义的pr！
alpaca chatglm chatgpt cot instruction-tuning llama llm lora moss p-tuning parameter-efficient pytorch tabul tabular-data tabular-model
Last synced: 25 Oct 2024
https://github.com/thudm/p-tuning-v2
An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks
natural-language-processing p-tuning parameter-efficient-learning pretrained-language-model prompt-tuning
Last synced: 21 Dec 2024
https://github.com/THUDM/P-tuning-v2
An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks
natural-language-processing p-tuning parameter-efficient-learning pretrained-language-model prompt-tuning
Last synced: 25 Oct 2024
https://github.com/THUDM/P-tuning
A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
few-shot-learning natural-language-processing p-tuning parameter-efficient-learning pre-trained-language-models prompt-tuning
Last synced: 19 Dec 2024
https://github.com/thudm/p-tuning
A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
few-shot-learning natural-language-processing p-tuning parameter-efficient-learning pre-trained-language-models prompt-tuning
Last synced: 18 Dec 2024
https://github.com/freedomintelligence/dptdr
Code for COLING22 paper, DPTDR: Deep Prompt Tuning for Dense Passage Retrieval
dense-retrieval information-retrieval p-tuning prompt-learning prompt-tuning question-answering
Last synced: 17 Nov 2024
https://github.com/hrolive/poland-end-to-end-llm-bootcamp
This bootcamp is designed to give NLP researchers an end-to-end overview on the fundamentals of NVIDIA NeMo framework, complete solution for building large language models. It will also have hands-on exercises complimented by tutorials, code snippets, and presentations to help researchers kick-start with NeMo LLM Service and Guardrails.
gpt llama2 llm llm-inference llm-training nemo-guardrails nvidia nvidia-nemo p-tuning prompt-tuning tensorrt triton
Last synced: 09 Nov 2024
