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Sayak Paul

sayakpaul
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https://sayak.dev

AI & ML interests

Diffusion models, representation learning

Recent Activity

commented on a paper about 5 hours ago
Radial Attention: $O(n\log n)$ Sparse Attention with Energy Decay for Long Video Generation
upvoted a paper about 5 hours ago
Radial Attention: O(nlog n) Sparse Attention with Energy Decay for Long Video Generation
reacted to burtenshaw's post with ❤️ about 8 hours ago
Inference for generative ai models looks like a mine field, but there’s a simple protocol for picking the best inference: 🌍 95% of users >> If you’re using open (large) models and need fast online inference, then use Inference providers on auto mode, and let it choose the best provider for the model. https://huggingface.co/docs/inference-providers/index 👷 fine-tuners/ bespoke >> If you’ve got custom setups, use Inference Endpoints to define a configuration from AWS, Azure, GCP. https://endpoints.huggingface.co/ 🦫 Locals >> If you’re trying to stretch everything you can out of a server or local machine, use Llama.cpp, Jan, LMStudio or vLLM. https://huggingface.co/settings/local-apps#local-apps 🪟 Browsers >> If you need open models running right here in the browser, use transformers.js. https://github.com/huggingface/transformers.js Let me know what you’re using, and if you think it’s more complex than this.
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