另外ChatWithRTX甚至可以回答youtube视频的问题!需要提供对应的youtube视频链接,然后点击下载按钮,它会将视频的字幕下载到本地,通过对字幕的理解来概括视频内容。 它会把所有 youtube_dataset 文件夹下的文本文件都作为数据库,用来回答你的问题。所以需要把该文件夹下不相关的文件给删除,否则它回答的问题可能不符合预期...
這是Nvidia對於Chat With RTX的介紹: Chat With RTX 是一款展示應用程式,可讓您客製GPT 大語言模型 (LLM)並連接到您自己的內容(包含文件、筆記、影片或其他數據)。 利用檢索增強生成技術 (RAG), TensorRT-LLM 和 RTX 加速,您可以查詢自訂聊天機器人以快速獲得上下文相關的答案。由於它全部在您的 Windows RTX PC...
原理是把相关文件(格式支持 txt,pdf和doc)放到相关目录下,Chat With RTX就会搜索本地的文件来生成回答。 我们可以做个简单的尝试: 打开张小白的图书仓库 找一本 牛津通识读本百年纪念套装,现在是mobi格式的,转成pdf格式试试: 将pdf文件拷贝到 E:\LLMNVIDlA ChatWithRTX\RAG\trt-llm-rag-windows-main\dataset目...
Nvidia这两天放出了自家的LLMdemo,于是决定下载下来简单体验一下 安装包大小为35G,下载地址:https://www.nvidia.com/en-us/ai-on-rtx/chat-with-rtx-generative-ai/ 系统要求是8G显存或以上的30/40系卡,这个软件有两个模型,llama只能在16G显存以上的系统安装,而8G/12G只能跑mistral。笔者手里的4060笔记本则刚...
Chat with RTX uses retrieval-augmented generation (RAG), NVIDIA TensorRT-LLM software and NVIDIA RTX acceleration to bring generative AI capabilities to local, GeForce-powered Windows PCs. Users can quickly, easily connect local files on a PC as a dataset to an open-source large language model ...
Chat with RTX, as we said, is a text-based generative AI platform—a ChatGPT or Copilot of sorts—but one that doesn't send a single bit of your data to a cloud server, or use web-based datasets. The dataset is whatever you provide. You even have the flexibility to choose an AI...
Nvidia has made Chat with RTX available for anyone to download, and you'll have access to the same dataset that we were given here, too. Developers can incorporate RAG in their own applications if they wish, but if you just want to play around with it, then you can go to Nvidia's ...
I’ve spoken with the Live Chat support and they suggested I post this here. When trying to Install Chat with RTX 0.2 I get the Message “NVIDIA Installer failed”. Llama2 13B INT4 and Mistral 7B INT4 are “not installed” a…
# Training with a 8-GPU serverscolossalai run --nproc_per_node=8 train_prompts.py prompts.csv \ --strategy colossalai_zero2 \ --pretrain "/path/to/Coati-7B" \ --model 'llama' \ --pretrain_dataset /path/to/dataset 在获得最终模型权重后，还可通过量化降低推理硬件成本，并...
关于DeepSpeed的发布博客见:https://github.com/microsoft/DeepSpeedExamples/tree/master/applications/DeepSpeed-Chat ,官方也比较贴心的提供了中文版本:https://github.com/microsoft/DeepSpeed/blob/master/blogs/deepspeed-chat/chinese/README.md 。 0x1. 🐕 概述和BenchMark细节🐕...