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gliched_robot

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gliched_robot
·2 lata temu·discuss
If anyone wants to try this out, here is the hugging-face spaces demo: https://huggingface.co/spaces/google/paligemma
gliched_robot
·2 lata temu·discuss
This is far more superior than SORA, there is no comparison.
gliched_robot
·2 lata temu·discuss
Lmsys devs have all the answers, I am not sure how this has not leaked yet. They must a strong NDAs.
gliched_robot
·2 lata temu·discuss
I do not understand the taught process here. They are regulating it so fast. It's almost like regulating car before even engine is invented.
gliched_robot
·2 lata temu·discuss
GPU server locations, maybe?
gliched_robot
·2 lata temu·discuss
Inference speed is not a great metric given the horizontal scalability of LLMs.
gliched_robot
·2 lata temu·discuss
Disagree on Nvidia, most folks fine-tune model. Proof: there are about 20k models in huggingface derived from llama 2, all of them trained on Nvidia GPUs.
gliched_robot
·2 lata temu·discuss
Maybe a typo?
gliched_robot
·2 lata temu·discuss
This llama model some made it run on an iphone. https://x.com/1littlecoder/status/1781076849335861637?s=46
gliched_robot
·2 lata temu·discuss
I see what you did here <q> carrying the "torch" <q>. LOL
gliched_robot
·2 lata temu·discuss
The code it writes is getting worse eg. lazy and not updating the function, not following prompts etc. So we can objectively say its getting worse.
gliched_robot
·2 lata temu·discuss
Wild considering, GPT-4 is 1.8T.
gliched_robot
·2 lata temu·discuss
If any one is interesting in seeing how 400B model compares with other opensource models, here is a useful chart: https://x.com/natolambert/status/1780993655274414123
gliched_robot
·2 lata temu·discuss
Is this real? Seems suspicious given that its just one model not a family of models like llama and llama-2.
gliched_robot
·2 lata temu·discuss
This is very cool and will change the way we do lora now.