Post
463
Mariusz Kurman PRO
mkurman
AI & ML interests
AI Tech Lead | MD
Recent Activity
reacted
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BrigitteTousi's
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with ❤️
3 days ago
LeRobot goes to driving school! 🚗🚗🚗
Hugging Face just announced a new collab with Yaak to bring the largest open-source self-driving dataset to LeRobot!
Major kudos to HF's @cadene, as well as @sandhawalia, @Shnissen and the Yaak team!
Check out the blog post here: https://huggingface.co/blog/lerobot-goes-to-driving-school
reacted
to
BrigitteTousi's
post
with 🔥
3 days ago
LeRobot goes to driving school! 🚗🚗🚗
Hugging Face just announced a new collab with Yaak to bring the largest open-source self-driving dataset to LeRobot!
Major kudos to HF's @cadene, as well as @sandhawalia, @Shnissen and the Yaak team!
Check out the blog post here: https://huggingface.co/blog/lerobot-goes-to-driving-school
reacted
to
BrigitteTousi's
post
with 🚀
3 days ago
LeRobot goes to driving school! 🚗🚗🚗
Hugging Face just announced a new collab with Yaak to bring the largest open-source self-driving dataset to LeRobot!
Major kudos to HF's @cadene, as well as @sandhawalia, @Shnissen and the Yaak team!
Check out the blog post here: https://huggingface.co/blog/lerobot-goes-to-driving-school
Organizations
Posts
17
Post
794
Just released NVAMP Loss!
✔️ modification of the cross-entropy loss function designed specifically for training LLMs.
✔️ twist on the standard cross-entropy loss by emphasizing the importance of outlier prediction errors and dynamically normalizing token-level variance.
✔️ more stable and efficient training, leading to models that generalize better.
Check it out, give it a spin, and let me know what you think!
Licensed under the Apache 2.0 license and ready to use. Happy training! 🔥🤖
https://github.com/mkurman/nvamp-loss
✔️ modification of the cross-entropy loss function designed specifically for training LLMs.
✔️ twist on the standard cross-entropy loss by emphasizing the importance of outlier prediction errors and dynamically normalizing token-level variance.
✔️ more stable and efficient training, leading to models that generalize better.
Check it out, give it a spin, and let me know what you think!
Licensed under the Apache 2.0 license and ready to use. Happy training! 🔥🤖
https://github.com/mkurman/nvamp-loss
spaces
1
models
6
mkurman/llama-3.2-MEDIT-3B-o1-GRPO-LLM-Eval
Text Generation
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mkurman/Llama-3.2-MedIT-3B-R1
Updated
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196
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mkurman/Llama-3.2-MedIT-SUN-2.5B-BT-GRPO
Updated
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102
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3
mkurman/Qwen2.5-14B-DeepSeek-R1-1M
Text Generation
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Updated
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1.49k
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mkurman/phi4-MedIT-10B-o1
Text Generation
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Updated
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128
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4
mkurman/llama-3.2-MEDIT-3B-o1
Text Generation
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Updated
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490
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