I bought Sublime with my first developer paycheck, eons ago. Thanks for your great work <3.
The current one makes a lot of money for a lot of parties uninterested in change, who then also lobby to prevent any reform. Health spending accounts for ~17.3% of GDP as of 2022. Source:…
They got me a stellar job many years ago, but unfortunately for them it's hard to monetize candidates unless they return through the same pipeline. My outcome was great, but I was one and done.
Same here, it's tons of work to collect, clean, validate data, followed by a tiny fun portion where you train models, then you do the whole loop over again.
If you have access to a GPU, try a vision-language model using Ollama, and feed it your notes. Might work out!
Looking forward to it, very happy customer!
you can try out https://huggingface.co/datasets/BAAI/SVIT which appears to support commercial. I've not tried it yet, but it seems to be an option. If you build a smaller model, you should need much less than 18 A100s…
https://huggingface.co/spaces/google/paligemma/blob/main/pal... the blog post details it but essentially to convert from PaliGemma tokens to bbox: y0 / 1024 * h x0 / 1024 * w y1 / 1024 * h x1 / 1024 * w have not played…
Here's a tutorial https://wandb.ai/byyoung3/ml-news/reports/How-to-Fine-Tune-L... There's not really a super easy to use software solution yet, but a few different ones have cropped up. Right now you'll have to read…
There are advantages to smaller models, namely you can process a lot more data, with a lot less vram. I think the intent here from the Google team is for a task-specific VLM that you fine-tune on your data, rather than…
One more opinion here: if you're looking around and nobody else has something obviously working, it's ok not to do a thorough search through hundreds of papers hoping to find someone else who came up with the idea. Get…
I bought Sublime with my first developer paycheck, eons ago. Thanks for your great work <3.
The current one makes a lot of money for a lot of parties uninterested in change, who then also lobby to prevent any reform. Health spending accounts for ~17.3% of GDP as of 2022. Source:…
They got me a stellar job many years ago, but unfortunately for them it's hard to monetize candidates unless they return through the same pipeline. My outcome was great, but I was one and done.
Same here, it's tons of work to collect, clean, validate data, followed by a tiny fun portion where you train models, then you do the whole loop over again.
If you have access to a GPU, try a vision-language model using Ollama, and feed it your notes. Might work out!
Looking forward to it, very happy customer!
you can try out https://huggingface.co/datasets/BAAI/SVIT which appears to support commercial. I've not tried it yet, but it seems to be an option. If you build a smaller model, you should need much less than 18 A100s…
https://huggingface.co/spaces/google/paligemma/blob/main/pal... the blog post details it but essentially to convert from PaliGemma tokens to bbox: y0 / 1024 * h x0 / 1024 * w y1 / 1024 * h x1 / 1024 * w have not played…
Here's a tutorial https://wandb.ai/byyoung3/ml-news/reports/How-to-Fine-Tune-L... There's not really a super easy to use software solution yet, but a few different ones have cropped up. Right now you'll have to read…
There are advantages to smaller models, namely you can process a lot more data, with a lot less vram. I think the intent here from the Google team is for a task-specific VLM that you fine-tune on your data, rather than…
One more opinion here: if you're looking around and nobody else has something obviously working, it's ok not to do a thorough search through hundreds of papers hoping to find someone else who came up with the idea. Get…