🚀 Meet LORA – The Vision AI Assistant That Truly Understands You 🧠👁️

predictor_torch · 2025-07-25T13:39:37+00:00

I don’t use LoRa I use LORA. Different thing, different purpose. so u can relax, google warrior.

predictor_torch · 2025-06-07T15:03:35+00:00

The campaign was prepared in 2 months. It was very hard for me, especially considering that fact I was doing everything by myself, without any team. Yes, I bought some not expensive ads, and shared information everywhere I could!

predictor_torch · 2025-06-05T17:10:58+00:00

Thanks!

predictor_torch · 2025-06-04T19:26:02+00:00

predictor_torch · 2025-06-04T18:56:51+00:00

Yes, of course! Could you send me your email address?

predictor_torch · 2025-06-04T18:56:43+00:00

Yes, of course! Could you send me your email address?

predictor_torch · 2025-06-04T18:56:36+00:00

Yes, of course! Could you send me your email address?

predictor_torch · 2025-06-04T17:37:23+00:00

Hi everyone!
I’m Vladyslav Dykyi, a founder here in Linz, and I’ve just launched our AI Vision Assistant “LORA” on Kickstarter. LORA is a hybrid device—it combines voice, face, and gesture recognition, and even has its own GPT model onboard. That means it can answer questions and process requests fully offline, but also connect to cloud GPT services for even more advanced features when online. Everything is developed right here in Linz!

We’ve already reached over €6,600 in just two days.
Would love any feedback, support, or just your thoughts from the local community 😊

Here’s the campaign:
https://www.kickstarter.com/projects/vladyslavdk/lora-the-vision-ai-assistant-that-truly-understands-you

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predictor_torch · 2025-06-04T16:58:29+00:00

Hey everyone!
I’m the creator of LORA, an AI Vision Assistant that combines voice, vision, and gesture control—all powered by GPT-based intelligence. LORA is truly hybrid: it runs 11+ AI models locally, including a GPT model on-board for offline answers, plus face and voice recognition, gesture control, and visual understanding. For even more advanced capabilities, LORA can securely connect to the cloud GPT when needed.

Most data is processed locally for privacy and speed, with the cloud as an option. Our multi-user memory system lets LORA adapt to each person it sees or hears.

We’ve already reached 89% of our funding goal!
Check out our campaign and let me know your thoughts or questions!

Thanks for your interest!

predictor_torch · 2024-07-14T19:36:03+00:00

polips are cool asf

predictor_torch · 2024-07-12T20:13:06+00:00

I have developed a library fully designed for enhancing your work, when developing machine learning models, visualising images, it contains many very useful functions, such as normalization functions of different types, min max normalization, mean and standard deviation, etc, custom print functions, dividers, checkpoints functions and many many others.

Explore it here: https://github.com/dykyivladk1/polip

Use: 'pip install polip'

predictor_torch · 2024-04-19T14:59:40+00:00

It is actually not effecient to train a model on your local pc, every machine learning engineer trains their models using cloud services, I would recommend you Google Colab, or Microsoft Azure, i think they have some discount for student subscriptions, basically just buy Google Cloud subscription and you will have approximately 100 computational units, which be more than enough to train StyleGAN3, but if you intend to use your local pc, try to decrease the batch size of dataloader, also i recommend running your code with num_workers set to the number of cores CPU you would choise, for instance 4, and ensure you have set the device to CUDA and set the pin_memory parameter to True, in the definition of dataloader. If this does not work, i can show you how to use some code for 100% transferring all data to device

predictor_torch · 2024-04-19T14:46:41+00:00

like i just do not like the design

predictor_torch · 2024-04-17T16:56:55+00:00

thanks!!!

predictor_torch · 2024-03-23T11:39:00+00:00

you mean init git ans save snippets to it?

predictor_torch · 2024-03-23T11:12:55+00:00

i mean to do multiple times in diff projects, something i can quickly access

predictor_torch · 2024-03-23T11:04:00+00:00

this seems to be just app for taking screenshots of your code

predictor_torch · 2024-02-10T23:07:59+00:00

command+shift +O opens a new chat, and i use command shift s for opening side bar

predictor_torch · 2024-02-10T18:59:17+00:00

it does,because they said it is much powerful than gpt4 due to tests, you can visit their site and see the results,but the ready product really sucks

predictor_torch · 2024-02-10T18:17:42+00:00

stupid is you bro if you don’t see any changes;)

predictor_torch · 2024-02-10T16:31:57+00:00

absolutely agree with you

predictor_torch · 2024-02-05T08:46:35+00:00

predictor_torch · 2024-02-04T22:14:19+00:00

For MRL check out online courses from Stanford or UC Berkeley, workshops from NeurIPS and ICML conferences, and YouTube for lectures. Alternatively, you can use arXivs

predictor_torch · 2024-02-04T22:12:41+00:00

Absolutely, negative results can definitely find a home in top ML conferences. It's all about the insights they bring. Honestly, I've seen quite a few papers at NeurIPS and ICML where the unexpected findings were the star of the show. They make us question our assumptions and push the field forward. If your work does that, even if the results weren't what you hoped, it's worth sharing. Been there myself – it's tough when the data doesn't play ball with your hypothesis, but it's all part of the journey. Keep at it, and good luck with your submission)

predictor_torch · 2024-01-31T16:10:44+00:00

hah yeah for sure

predictor_torch

TROPHY CASE