this post was submitted on 14 Feb 2024
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• 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.

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[–] General_Effort@lemmy.world 51 points 9 months ago (1 children)

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/

[–] GenderNeutralBro@lemmy.sdf.org 15 points 9 months ago (3 children)

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 IIRC GPT4All does not use GPU acceleration yet (might need outdated; I haven't checked in a while).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.

[–] General_Effort@lemmy.world 5 points 9 months ago

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.)

[–] CeeBee@lemmy.world 2 points 9 months ago

Ollama with Ollama WebUI is the best combo from my experience.

[–] Oha@lemmy.ohaa.xyz 1 points 9 months ago (1 children)

Gpt4all somehow uses Gpu acceleration on my rx 6600xt

[–] GenderNeutralBro@lemmy.sdf.org 1 points 9 months ago (1 children)

Ooh nice. Looking at the change logs, looks like they added Vulkan acceleration back in September. Probably not as good as CUDA/Metal on supported hardware though.

[–] Oha@lemmy.ohaa.xyz 1 points 9 months ago

getting around 44 iterations/s (or whatever that means) on my gpu

[–] furzegulo@lemmy.dbzer0.com 41 points 9 months ago (3 children)

i have no need to talk to my gpu, i have a shrink for that

[–] whodatdair@lemm.ee 23 points 9 months ago

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.

[–] femboy_bird@lemmy.blahaj.zone 4 points 9 months ago

Gpu is cheaper (somehow)

[–] gaifux@lemmy.world 1 points 8 months ago

Your shrink renders video frames?

[–] femboy_bird@lemmy.blahaj.zone 25 points 9 months ago* (last edited 9 months ago)

it gives the chatbot access to your files and documents

I'm sure nvidia will be trustworthy and responsible with this

[–] BertramDitore@lemmy.world 21 points 9 months ago (1 children)

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.

[–] halfwaythere@lemmy.world 8 points 9 months ago

You can already do this. There are plenty of vids that show you how and it's pretty easy to get started. Expanding functionality to get it to act and respond how you want is a bit more challenging. But definitely doable.

[–] Coldgoron@lemmy.world 12 points 9 months ago (2 children)

I recommend jan.ai over this, last I heard it mentioned it was a decent option.

[–] FaceDeer@kbin.social 5 points 9 months ago (1 children)

There's also GPT4All that I'm aware of.

[–] Hawk@lemmy.dbzer0.com 4 points 9 months ago

Or ollama.ai

[–] PlexSheep@feddit.de 5 points 9 months ago

I use https://huggingface.co/chat , you can also easily host open source models on your local machine

[–] RobotToaster@mander.xyz 10 points 9 months ago (4 children)

Shame they leave GTX owners out in the cold again.

[–] Kyrgizion@lemmy.world 4 points 9 months ago

2xxx too. It's only available for 3xxx and up.

[–] anlumo@lemmy.world 2 points 9 months ago

The whole point of the project was to use the Tensor cores. There are a ton of other implementations for regular GPU acceleration.

[–] CeeBee@lemmy.world 2 points 9 months ago

Just use Ollama with Ollama WebUI

[–] scottmeme@sh.itjust.works 10 points 9 months ago (2 children)

The performance on my 3070 was awful, tools like LM Studio work significantly better.

[–] TheGrandNagus@lemmy.world 19 points 9 months ago

Oh nooo, what an unfortunate turn of events. Guess that just means your GPU is too weak and old. How about upgrading to 40 series?

-- Nvidia, probably

[–] anlumo@lemmy.world 4 points 9 months ago (1 children)

On my 4090, the performance is much better than ChatGPT4. The output is way worse though.

[–] scottmeme@sh.itjust.works 1 points 9 months ago

Yeah my boss did a screen share with me and it was done instantly, while mine was needing to recompile the embeddings for the 5th time

[–] militaryintelligence@lemmy.world 2 points 9 months ago

AI is a data harvesting free-for-all

[–] ElHijoDelPilote@lemmy.world 1 points 9 months ago* (last edited 9 months ago)

I'm a bit of a noob here. Can someone please give me a few examples how I would use this on my local machine?

[–] Poggervania@kbin.social 1 points 9 months ago (2 children)
[–] PipedLinkBot@feddit.rocks 1 points 9 months ago

Here is an alternative Piped link(s):

NVIDIA song

Piped is a privacy-respecting open-source alternative frontend to YouTube.

I'm open-source; check me out at GitHub.

[–] femboy_bird@lemmy.blahaj.zone 1 points 9 months ago

I had almost forgotten that existed

Thanks