gliched_robot
No user record in our sample, but gliched_robot has activity below (stories or comments). Likely we have partial data — the full bulk-load will fill profiles in.
No user record in our sample, but gliched_robot has activity below (stories or comments). Likely we have partial data — the full bulk-load will fill profiles in.
If anyone wants to try this out, here is the hugging-face spaces demo: https://huggingface.co/spaces/google/paligemma
This is far more superior than SORA, there is no comparison.
Lmsys devs have all the answers, I am not sure how this has not leaked yet. They must a strong NDAs.
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.
GPU server locations, maybe?
Inference speed is not a great metric given the horizontal scalability of LLMs.
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.
Maybe a typo?
This llama model some made it run on an iphone. https://x.com/1littlecoder/status/1781076849335861637?s=46
I see what you did here <q> carrying the "torch" <q>. LOL
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.
Wild considering, GPT-4 is 1.8T.
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
Is this real? Seems suspicious given that its just one model not a family of models like llama and llama-2.
This is very cool and will change the way we do lora now.