awesome-prompt-engineering
github.com/prompt-engineering/awesome-prompt-engineering ↗awesome for your to collections
26
GitHub Stars
36
Curated Resources
4
Categories
20 hours ago
Last Refreshed
LLMsInstruct/Prompt Tuning DataProjects:Infra
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Installation instructions →What's inside
LLMs
Projects:
- AlpacaDataCleaned
- Alpaca-LoRA
Low-Rank LLaMA Instruct-Tuning, Instruct-tune LLaMA on consumer hardware .
- Alpaca-LoRA as a Chatbot Service
- BELLE
Bloom-Enhanced Large Language model Engine，针对 Stanford Alpaca 中文做了优化，模型调优仅使用由ChatGPT生产的数据（不包含任何其他数据）。
- ChatLangChain
- ChatRWKV
ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.
Instruct/Prompt Tuning Data
- Flan Collection
Google
- HH-RLHF
Anthropic
- InstructDial
prakharguptaz
- Natural Instruction / Super-Natural Instruction
Allen AI
- PromptSource / P3
BigScience
- Self-Instruct
yizhongw
Infra
- PEFT
Parameter-Efficient Fine-Tuning (PEFT) methods enable efficient adaptation of pre-trained language models (PLMs) to various downstream applications without fine-tuning all the model's parameters.
Showing a sample of 36 resources. View the full list on GitHub →