ChatGPT Prompt工程：设计、实践与思考(13)

MetaICL: https://yam.gift/2021/11/01/Paper/2021-11-01-MetaICL/

[19]

NLP与AI: https://yam.gift/2018/07/22/NLP/2018-07-22-NLP-and-AI/

[20]

Is Reinforcement Learning (Not) for Natural Language Processing?: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization: https://arxiv.org/abs/2210.01241

[21]

GPT3: https://yam.gift/2023/01/20/NLP/2023-01-20-GPT3/

[22]

《人工科学》: https://yam.gift/2018/09/30/AI/2018-09-30-The-Science-of-Artificial/

[23]

The Art of ChatGPT Prompting: A Guide to Crafting Clear and Effective Prompts: https://fka.gumroad.com/l/art-of-chatgpt-prompting

[24]

f/awesome-chatgpt-prompts: This repo includes ChatGPT prompt curation to use ChatGPT better.: https://github.com/f/awesome-chatgpt-prompts

[25]

Best Chat GPT Resources: https://island-stretch-3e4.notion.site/Best-Chat-GPT-Resources-b54f0284c7644583b59dd9a332f46af8

[26]

ChatGPT Success Completely Depends On Your Prompt: https://www.forbes.com/sites/tjmccue/2023/01/19/chatgpt-success-completely-depends-on-your-prompt/?sh=dfcdbc41a169

[27]

[2301.08155] AI Insights into Theoretical Physics and the Swampland Program: A Journey Through the Cosmos with ChatGPT: https://arxiv.org/abs/2301.08155

[28]

[2301.07597] How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection: https://arxiv.org/abs/2301.07597

[29]

ChatGPT: Optimizing Language Models for Dialogue: https://openai.com/blog/chatgpt/

[30]

[2203.02155] Training language models to follow instructions with human feedback: https://arxiv.org/abs/2203.02155

[31]

甄嬛体的造句样式: https://www.jgdq.org/youmeijuzi/143341.html

[32]

“甄嬛体” 的句式、语体、修辞 - 藏刊网: http://cangkan.net/wxlw/35823.html

[33]

Collaborative Creative Writing with OpenAI’s ChatGPT – @AndrewMayne: https://andrewmayneblog.wordpress.com/2022/11/30/collaborative-creative-writing-with-openais-chatgpt/