https://github.com/1587causalai/awesome-causal-chatgpt
Awesome Causal ChatGPT
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (5.1%) to scientific vocabulary
Last synced: 10 months ago
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Awesome Causal ChatGPT
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Fork of DeepTecher/awesome-ChatGPT-resource-zh
Created over 3 years ago
· Last pushed over 3 years ago
https://github.com/1587causalai/awesome-causal-ChatGPT/blob/main/
# Awesome Causal ChatGPT PromptingNeural Editing Machine Unlearning - Think about it step by step. q - - - GPT4 ## ### - - - - ... TODO: - Illari P, Russo F. Causality: Philosophical theory meets scientific practice[M]. OUP Oxford, 2014. - - - Chain of Thought [link](https://www.bilibili.com/video/BV1TD4y137mP?p=31&vd_source=d3d6c6260e5259a5e1b8b098679a13da) - Calibration ### .... ## ChatGPT Causal [link](https://github.com/1587causalai/awesome-causal-ChatGPT-resource) ### GPT - [ChatGPT APP](https://chat.openai.com) - [OpenAI API](https://beta.openai.com/docs) - [playground](https://platform.openai.com/playground) - [ChatGPT ](https://openai.com/blog/chatgpt-plugins) `ChatGPT` - Colossal-AI: Making large AI models cheaper, faster and more accessible - **ColossalAI** [hpcaitech/ColossalAI](https://github.com/hpcaitech/ColossalAI/tree/main/applications/ChatGPT) ### - GPT-1[Improving Language Understanding by Generative Pre-Training](https://cdn.openai.com/research-covers/language-unsupervised/language_understanding_paper.pdf) - GPT-2[Language Models are Unsupervised Multitask Learners](https://cdn.openai.com/better-language-models/language_models_are_unsupervised_multitask_learners.pdf) - GPT-3[Language Models are Few-Shot Learners](https://arxiv.org/abs/2005.14165) - InstructGPT[Training language models to follow instructions with human feedback](https://arxiv.org/pdf/2203.02155.pdf) - RHLF[Augmenting Reinforcement Learning with Human Feedback](https://www.cs.utexas.edu/~ai-lab/pubs/ICML_IL11-knox.pdf) - PPO[Proximal Policy Optimization Algorithms](https://arxiv.org/abs/1707.06347) - InstructGPT [Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback](https://arxiv.org/pdf/2204.05862.pdf) - GPT-4 [GPT-4 Technical Report](https://cdn.openai.com/papers/gpt-4.pdf) ### ChatGPT - ChatGPT [ChatGPT ShortCut](https://newzone.top/chatgpt/?tags=code) - [ChatGPT](https://github.com/f/awesome-chatgpt-prompts) - [ChatGPT](https://github.com/PlexPt/awesome-chatgpt-prompts-zh) ### - [ChatGPT () - GPT ](https://www.bilibili.com/video/BV1U84y167i3?p=1&vd_source=71b548de6de953e10b96b6547ada83f2) - [2023: p2-p6 ChatGPT](https://www.bilibili.com/video/BV1TD4y137mP?p=2) - [AIGPT-4 ! GPT-4 ](https://www.bilibili.com/video/BV1SL411R7r1/?spm_id_from=333.337.search-card.all.click&vd_source=71b548de6de953e10b96b6547ada83f2) - [ | ADL 17.3: OpenAI ChatGPT AI](https://www.bilibili.com/video/BV1U84y167i3?p=3&vd_source=71b548de6de953e10b96b6547ada83f2) - [InstructGPT 48](https://www.bilibili.com/video/BV1hd4y187CR/?spm_id_from=333.788&vd_source=71b548de6de953e10b96b6547ada83f2) - [Anthropic LLM 51](https://www.bilibili.com/video/BV1XY411B7nM/?spm_id_from=333.999.0.0) - GPT-4 [315GPT-424GPT-4 Developer Livestream](https://www.bilibili.com/video/BV1Qo4y1B7hJ/?spm_id_from=333.999.0.0)
Owner
- Name: Heyang Gong
- Login: 1587causalai
- Kind: user
- Repositories: 1
- Profile: https://github.com/1587causalai
1587causalai