📚 Kaggle LLM Prompt Recovery竞赛是一个关于自然语言处理(NLP)的机器学习竞赛,旨在研究如何有效使用大语言模型(LLM)进行文本重写。📅 赛题背景: NLP工作流程中,重写文本是一个常见任务,但如何高效使用LLM仍需进一步研究。这次竞赛以新颖的方式深入探索这个问题。📝 赛题任务: 本次比赛的目标是恢复用于转换给定...
1st place ->https://www.kaggle.com/competitions/llm-prompt-recovery/discussion/494343 2nd place ->https://www.kaggle.com/competitions/llm-prompt-recovery/discussion/494497 3rd place ->https://www.kaggle.com/competitions/llm-prompt-recovery/discussion/494621 4th place ->https://www.kaggle.com/co...
LLM Prompt Recovery Fifth Place Solution Team Z.D.Z Model Training Code Hello! Below is an outline for reproducing our solution for the LLM Prompt Recovery competition. Should you encounter any issues with the setup or code, or if you have any questions, please feel free to contact us at ...
LLM Prompt Recovery This repository contains the code and resources for the project titled "LLM Prompt Recovery," an ECE 5424 final project. The project aims to develop methodologies for recovering the original prompts used in text rewriting tasks performed by large language models (LLMs)....
首先它有分享一些GPTs指令，可以在代码仓库的"prompts"文件夹中找到，学习优秀GPTs后台prompt的写法 这个...
需要说明的是:每个 Attention Head 中从 Prefix 里挑选的 Token 可能不同。此外,Decoding 阶段也不会再更新 Prompt 的 KV Cache。 SnapKV 在处理 16K Token 的输入时,可以获得 3.6x 的加速,内存效率提升 8.2x。同时在 16 个长序列数据集上保持了与基线模型相当的精度。此外,使用 Huggingface 可以在单个 A100-...
- Go to Node— redirect the workflow to a specific Node in the Flow, which can be useful for error recovery or customized error handling. Error Message (optional) Text The parameter appears when Continue Flow Execution is selected. Add an message to output if the LLM Prompt Node fails. ...
本文以 deeplearning.ai 上的 ChatGPT Prompt Engineering for Developers 课程为例,通过下载视频和字幕、使用LLama3和反思策略翻译字幕、然后使用 ChatTTS 将字幕转换为流畅的普通话,最终通过 FFmpeg 将字幕、音频和视频合并在一起。你或许会有疑问为什么我的TTS说话如此流畅,音色如此统一?且听我娓娓道来。如何下载...
Approaches to reverse engineering a prompt. Contribute to cma1114/kaggle-llm-prompt-recovery development by creating an account on GitHub.
Learn more OK, Got it.Urvika Gola · 9mo ago· 133 views arrow_drop_up1 Copy & Edit5 more_vert LLM Prompt RecoveryNotebookInputOutputLogsComments (0)Input Data An error occurred: Unexpected end of JSON input