• https://crfm.stanford.edu/2023/03/13/alpaca.html
• https://github.com/archersama/awesome-recommend-system-pretraining-papers
• A Comprehensive Survey on Pretrained Foundation Models-A history from bert to chatgpt.pdf
• https://cdn.openai.com/papers/gpt-4.pdf, 2023-03-14
• https://github.com/karpathy/nanoGPT
• 预测部分代码 https://github.com/facebookresearch/llama
• https://github.com/tatsu-lab/stanford_alpaca
  • https://github.com/huggingface/transformers/
  • 中文版 https://github.com/ymcui/Chinese-LLaMA-Alpaca
• 推荐 P5 https://arxiv.org/pdf/2203.13366.pdf
• 推荐 M6 https://arxiv.org/pdf/2205.08084.pdf
• 基于个性化Prompt的推荐：推荐系统和NLP的跨界融合 https://zhuanlan.zhihu.com/p/483932940

• Pre-train, Prompt and Recommendation: A Comprehensive Survey of Language Modelling Paradigm Adaptations in Recommender Systems https://arxiv.org/abs/2302.03735
• Personalized Prompt for Sequential Recommendation https://arxiv.org/pdf/2205.09666.pdf

语音

https://vallex-demo.github.io/

*中文测评 https://github.com/CLUEbenchmark/SuperCLUE