Awesome-ChatGPT-main - 夸克搜-夸克资源搜索引擎
- README.md
- .DS_Store
- ChatGPT从入门到精通.pdf
- 揭秘ChatGPT身后的AIGC技术和它的中国同行们.pdf
- 腾讯研究院AIGC发展趋势报告2023.pdf
- 从CHAT_GPT到生成式AI.pdf
- 从ChatGPT到通用智能新长征上的新变化.pdf
- 三分钟看懂ChatGPT.pdf
- 像ChatGPT这样的工具如何改变你的企业.pdf
- Training language models to follow instructions with human feedback.pdf
- chatgpt-head.png
- 文心一言测试指引.pdf
- 华泰证券：文心一言：技术与能力拆解.pdf
- 华西证券：百度文心一言畅想.pdf
- 首创证券：文心一言接入生态伙伴，AIGC关注度持续.pdf
- ChatGPT系列—百度文心一言解读20230315.pdf
- GPT-4 技术报告.pdf
- gpt-4.pdf
- OpenAI发布GPT-4，大模型的发展进入新的里程碑.pdf
- GPT-4 震撼发布, AI 算法之巅.pdf
- WebGPT- Browser-assisted question-answering with human feedback.pdf
- Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.pdf
- Red Teaming Language Models to Reduce Harms- Methods, Scaling Behaviors, and Lessons Learned.pdf
- NIPS-2017-deep-reinforcement-learning-from-human-preferences-Paper.pdf
- Improving alignment of dialogue agents via targeted human judgements.pdf
- Teaching language models to support answers with verified quotes.pdf
- NeurIPS-2020-learning-to-summarize-with-human-feedback-Paper.pdf
- Learning to summarize from human feedback.pdf
- Fine-Tuning Language Models from Human Preferences.pdf
- Dynamic Planning in Open-Ended Dialogue using Reinforcement Learning.pdf
- ChatGPT_Prompts_使用场景.pdf
- gpt3-Language-Models-are-Few-Shot-Learners.pdf
- gpt1-language_understanding_paper.pdf
- gpt2-language_models_are_unsupervised_multitask_learners.pdf
扫码获取资源