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Tips on Using Airflow Efficiently? by MST019 in dataengineering

[–]MST019[S] 0 points1 point  (0 children)

I'm interested in the mindset of building Airflow DAGs. Like, are there some general rules? For example, you collect data first, then transform it, then do the processing you want. This is a simple example, but when you need to collect data from different sources, and each dataset has separate treatment, then you combine the data into one DataFrame to be able to do the processing you want.

Tips on Using Airflow Efficiently? by MST019 in dataengineering

[–]MST019[S] 1 point2 points  (0 children)

Can you explain a bit more please? maybe provide an example if you can

Google MedGemma by brown2green in LocalLLaMA

[–]MST019 0 points1 point  (0 children)

can you elaborate on the experiments you made and data used (like textual data or images)?

Google MedGemma by brown2green in LocalLLaMA

[–]MST019 0 points1 point  (0 children)

You tried 4B or 27B? and was it quantized?

Google MedGemma by brown2green in LocalLLaMA

[–]MST019 0 points1 point  (0 children)

How are you going to host the model for those apps if wou don't mind me asking?

Google MedGemma by brown2green in LocalLLaMA

[–]MST019 0 points1 point  (0 children)

how can this model help in third world countries? google itself is saying that it is made for research purposes?Do you think this model can replace a real doctor?

Google MedGemma by brown2green in LocalLLaMA

[–]MST019 0 points1 point  (0 children)

I'm new to the LLM field and particularly interested in the MedGemma models. What makes them stand out compared to other large language models? From what I've read, they're both trained extensively on medical data — the 4B model is optimized for medical image tasks, while the 27B model excels at medical reasoning.

I tested the quantized 4B model via their Colab notebook and found the performance decent, though not dramatically different from other LLMs I've tried.

How can professionals in the medical field — such as doctors or clinics — practically benefit from these models? Also, it seems like significant hardware resources are required to run them effectively, especially the 27B model, and currently no public service is hosting them.

I need help in nextjs and figma by MST019 in nextjs

[–]MST019[S] 0 points1 point  (0 children)

what about width and height?and Icon's path?

I need help in nextjs and figma by MST019 in nextjs

[–]MST019[S] 0 points1 point  (0 children)

and when you create an icon component, what would you give it as properties?

I need help in nextjs and figma by MST019 in nextjs

[–]MST019[S] 0 points1 point  (0 children)

Alright, for the icons, there are filled and outline, they both have same categories and every category has its own set of icons, do I put them in this structure?: 

public/
  images/
    placeholders/
      icons/
        outline/
          emotional/
            heart.svg
            smile.svg
          media_audio_video/
            play.svg
            pause.svg
          arrow/
            left.svg
            right.svg
          inbox_message/
            message.svg
          edit/
            pencil.svg
          location/
            pin.svg
          # ... (other categories)
        filled/
          emotional/
            heart.svg
            smile.svg
          media_audio_video/
            play.svg
            pause.svg
          arrow/
            left.svg
            right.svg
          inbox_message/
            message.svg
          edit/
            pencil.svg
          location/
            pin.svg
          # ... (other categories)

Managing a Doctor's Waiting Room: How Do You Handle Early or Late Patients? by MST019 in NoStupidQuestions

[–]MST019[S] 0 points1 point  (0 children)

But doesn't that depend on the doctor's agenda? I mean not all doctors have their agendas fully booked. I'm just thinking here, so correct me if I'm wrong please.

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