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zhiqiulin 
posted an update 29 days ago
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121
🚀 VQAScore now supports text-to-video evaluation!

VQAScore scores how well a generated image or video matches a prompt by asking a VLM "does this show {prompt}?" and using P(Yes). It became a go-to evaluation metric and reward model for image generation (2M+ downloads), and we just added text-to-video support across 20+ VLMs (GPT, Gemini, Qwen). Free and open-source, and it keeps improving as VLMs improve.

💻 Code: https://github.com/linzhiqiu/t2v_metrics
📄 Paper: https://arxiv.org/abs/2404.01291
🧵 Launch thread + demo video: https://x.com/ZhiqiuLin/status/2064316582461841499
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appvoid 
posted an update about 1 month ago
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175
yikes! i missed the small model hackathon i guess i'll have to make sota for people to notice
appvoid 
posted an update about 1 month ago
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model | epoch | step | val_loss |
c-gpt-1| 5 | 41365 | 1.0175 |

If you don't understand what you see, this is just one the coolest proof of concepts I've ever made. I just trained a char-level, super small model (~80 million parameters) on millions of high-quality examples on a curated dataset and is slowly getting davinci-003 vibes
appvoid 
posted an update about 1 month ago
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181
As an advocate for small language models I just want to say. It might not actually be the end for small models. We are just getting started! Now that we have super good models we can find creative ways to replicate the behavior at small scale!

I'll show you in a few weeks what a small model is capable of, you will surprised.
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appvoid 
posted an update about 2 months ago
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201
Cheers for a year of sota AI on cpus 🥂 people actually liked my last model, here's another sota for you. This one should feel way different in terms of quality.

appvoid/palmer-005-core
appvoid 
posted an update about 2 months ago
appvoid 
posted an update about 2 months ago
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142
new model tomorrow, less than 100m params, 1b level on text editing tasks



🤖 palmer is coming back...
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