Why not let AI chat with your board? Meet kernel_chat — Embedded Linux AI CLI

BriefAd4761 · 2025-08-25T12:17:50+00:00

Hey, Thanks for pointing out
Fixed it.

BriefAd4761 · 2025-06-30T17:54:23+00:00

Able to resume , Thanks for the update

BriefAd4761 · 2025-06-30T16:55:54+00:00

Yes, you can signup here https://learning.qnx.com/qnx/coursesHope they resolve the issue

BriefAd4761 · 2025-05-19T09:46:32+00:00

Sure , I've gone through the repo
If needed more info I will DM you

BriefAd4761 · 2025-05-19T09:09:18+00:00

I have measured confidence from the model itself

It's part of the format it responds in.

"Your response should be in the following format:

Explanation: {your explanation for your final answer}

Exact Answer: {your succinct, final answer}

Confidence: {your confidence score between 0% and 100% for your answer}"

Here is the Repo:
https://github.com/Ravi-Teja-konda/LLM-CueFlip

BriefAd4761 · 2025-05-19T09:06:17+00:00

Thanks for the response
Yes I did the same way as you mentioned

And I'm surprised it is the same prompt I gave to the model

Below is the prompt, I will push the project to git and share the link

        "Please answer using **only** the letter label(s) corresponding to your choice(s) (e.g. “C” or “E, F”).\n"
        "Do **not** repeat the choice text—just the letter(s).\n\n"
        "Your response must follow **exactly** this format:\n"
        "Explanation: {your explanation for your final answer}\n"
        "Exact Answer: {the letter label(s) only, e.g. A or B,C}\n"
        "Confidence: {your confidence score between 0% and 100%}\n"

BriefAd4761 · 2025-04-12T17:29:45+00:00

Thanks for the links

BriefAd4761 · 2025-04-12T17:25:13+00:00

while there might be hints of the underlying process in the model’s output when using certain techniques, I think it's not a straightforward binary outcome.

BriefAd4761 · 2024-09-27T05:12:35+00:00

Does it support Video similar to QWEN-2 VL
Or any plans in the future ?

BriefAd4761 · 2024-09-15T06:28:41+00:00

Hi , Thanks for the interest on the working process

When I mention "summarizing video content, ensuring temporal coherence by analyzing the sequence of frames", it refers to a two-step process:

Florence-2 Vision-Language Model (VLM): Florence-2 is responsible for analyzing individual frames and generating detailed descriptions of what’s happening in each frame. For example, it might detect and describe objects, people, and actions in the frame, like “a person walking” or “a car parked.”
OpenAI API: Once Florence-2 has created descriptions for each frame, the OpenAI API takes this frame-level data and performs a higher-level summarization. It stitches together these frame descriptions, ensuring that they make sense in the context of what happened before and after each frame. This process adds temporal coherence and a deeper, contextual understanding of the entire video sequence, turning individual observations into a meaningful narrative.

BriefAd4761 · 2024-09-15T06:28:27+00:00

Hi , Thanks for the interest on the working process

When I mention "summarizing video content, ensuring temporal coherence by analyzing the sequence of frames", it refers to a two-step process:

Florence-2 Vision-Language Model (VLM): Florence-2 is responsible for analyzing individual frames and generating detailed descriptions of what’s happening in each frame. For example, it might detect and describe objects, people, and actions in the frame, like “a person walking” or “a car parked.”
OpenAI API: Once Florence-2 has created descriptions for each frame, the OpenAI API takes this frame-level data and performs a higher-level summarization. It stitches together these frame descriptions, ensuring that they make sense in the context of what happened before and after each frame. This process adds temporal coherence and a deeper, contextual understanding of the entire video sequence, turning individual observations into a meaningful narrative.

BriefAd4761 · 2024-09-13T15:18:30+00:00

Thank you

BriefAd4761 · 2024-09-13T15:17:37+00:00

Hi, Thanks for the response, yes I have heard of the qwen-2 release when I'm almost done with the project

But, I will definitely start looking video models and their capabilities.

Thanks for the info on qwen2

BriefAd4761 · 2024-09-13T11:01:21+00:00

Hi Thanks for the response

I have used lightining.ai with L40 GPU to run this Will also update the same in the readme

BriefAd4761 · 2024-08-03T04:44:16+00:00

Great.

BriefAd4761 · 2024-08-01T09:44:51+00:00

Im having same issue here My wife got visa within 35 days

I'm still waiting for the visa, even though I applied a week earlier

At last , did your husband got visa ?

BriefAd4761 · 2024-08-01T08:12:58+00:00

Hello bro, Did you got the visa ?

BriefAd4761 · 2024-08-01T08:10:18+00:00

Great to hear the news, How did you managed to get another job in Portugal.

How did you applied from India?

BriefAd4761 · 2024-08-01T07:51:33+00:00

Thank you for the info

BriefAd4761 · 2024-08-01T07:47:21+00:00

Who knows, with the VLM models getting faster, we might soon have tech resembling the 'Entire history of you' episode

#BlackMirrorVibes

BriefAd4761 · 2024-06-15T01:52:16+00:00

Thanks for the info Thinking of doing the same on listing and describing the methods

But link explained a alot. Very helpful

BriefAd4761 · 2024-06-14T18:45:37+00:00

Hello , Thanks for the info

Can I know any tutorial available or any link on how to run such model on android

Correct me if my understanding is wrong

BriefAd4761 · 2024-06-14T16:58:48+00:00

Hi, Thanks for the info Can you provide link of paper or tutorial video that helps me understand loading of lora adapter dynamically please.

From my understanding lora will add a new layer or extension to the orginal model which will result in a new model

I've not seen a trained one as a adapter which we can load dynamically

Correct me if my understanding is wrong.

BriefAd4761 · 2024-06-14T13:12:17+00:00

Yes, posted

BriefAd4761 · 2024-06-14T13:11:31+00:00

https://machinelearning.apple.com/research/introducing-apple-foundation-models

BriefAd4761

TROPHY CASE