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