• NVIDIA released a demo version of a chatbot that runs locally on your PC, giving it access to your files and documents.
• The chatbot, called Chat with RTX, can answer queries and create summaries based on personal data fed into it.
• It supports various file formats and can integrate YouTube videos for contextual queries, making it useful for data research and analysis.
They say it works without an internet connection, and if that’s true this could be pretty awesome. I’m always skeptical about interacting with chatbots that run in the cloud, but if I can put this behind a firewall so I know there’s no telemetry, I’m on board.
AI is a data harvesting free-for-all
That was an annoying read. It doesn’t say what this actually is.
It’s not a new LLM. Chat with RTX is specifically software to do inference (=use LLMs) at home, while using the hardware acceleration of RTX cards. There are several projects that do this, though they might not be quite as optimized for NVIDIA’s hardware.
Go directly to NVIDIA to avoid the clickbait.
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 like Mistral or Llama 2, enabling queries for quick, contextually relevant answers.
Source: https://blogs.nvidia.com/blog/chat-with-rtx-available-now/
Download page: https://www.nvidia.com/en-us/ai-on-rtx/chat-with-rtx-generative-ai/
Pretty much every LLM you can download already has CUDA support via PyTorch.
However, some of the easier to use frontends don’t use GPU acceleration because it’s a bit of a pain to configure across a wide range of hardware models and driver versions. IIRC GPT4All does not use GPU acceleration yet (might need outdated; I haven’t checked in a while).
If this makes local LLMs more accessible to people who are not familiar with setting up a CUDA development environment or Python venvs, that’s great news.
I’d hope that this uses the hardware better than Pytorch. Otherwise, why the specific hardware demands? Well, it can always be marketing.
There are several alternatives that offer 1-click installers. EG in this thread:
AGPL-3.0 license: https://jan.ai/
MIT license: https://ollama.com/
MIT license: https://gpt4all.io/index.html
(There’s more.)
i have no need to talk to my gpu, i have a shrink for that
Idk I kinda like the idea of a madman living in my graphics card. I want to be able to spin them up and have them tell me lies that sound plausible and hallucinate things.
Your shrink renders video frames?
I recommend jan.ai over this, last I heard it mentioned it was a decent option.
I use https://huggingface.co/chat , you can also easily host open source models on your local machine
it gives the chatbot access to your files and documents
I’m sure nvidia will be trustworthy and responsible with this
Can I sing the NVIDIA song with it?
