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zhisbug

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[untitled]

1 points·by zhisbug·4 ay önce·0 comments

[untitled]

1 points·by zhisbug·4 ay önce·0 comments

Create a 5s 1080p Video in 4.5s with FastVideo on a Single GPU

1080p.fastvideo.org
12 points·by zhisbug·4 ay önce·1 comments

[untitled]

1 points·by zhisbug·11 ay önce·0 comments

[untitled]

1 points·by zhisbug·geçen yıl·0 comments

[untitled]

1 points·by zhisbug·geçen yıl·0 comments

[untitled]

1 points·by zhisbug·geçen yıl·0 comments

[untitled]

1 points·by zhisbug·geçen yıl·0 comments

[untitled]

1 points·by zhisbug·geçen yıl·0 comments

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1 points·by zhisbug·geçen yıl·0 comments

Can LLMs play real-time games like supermario (other than Pokemon red)?

twitter.com
3 points·by zhisbug·geçen yıl·1 comments

Sliding Tile Attention: A New Method That Speeds Up HunyuanVideo's Outputs by 3x

old.reddit.com
2 points·by zhisbug·geçen yıl·1 comments

Fast Video Generation with Sliding Tile Attention

hao-ai-lab.github.io
12 points·by zhisbug·geçen yıl·2 comments

More Efficient Chain-of-Thought Reasoning Through Certainty Probing

huggingface.co
6 points·by zhisbug·geçen yıl·2 comments

AI Space Escape: Playing Games While Evaluting LLM Reasonsing

lmgame.org
13 points·by zhisbug·geçen yıl·2 comments

Efficient LLM Scheduling by Learning to Rank

hao-ai-lab.github.io
2 points·by zhisbug·geçen yıl·1 comments

FastVideo: a lightweight framework for accelerating large video diffusion models

github.com
110 points·by zhisbug·2 yıl önce·24 comments

MuxServe: Flexible Spatial-Temporal Multiplexing for Multiple LLM Serving

hao-ai-lab.github.io
2 points·by zhisbug·2 yıl önce·1 comments

Consistency LLM: converting LLMs to parallel decoders accelerates inference 3.5x

hao-ai-lab.github.io
461 points·by zhisbug·2 yıl önce·98 comments

Throughput Is Not All You Need: Maxing Goodput in LLM Serving via Disaggregation

hao-ai-lab.github.io
5 points·by zhisbug·2 yıl önce·1 comments

comments

zhisbug
·4 ay önce·discuss
blog: https://haoailab.com/blogs/dreamverse/
zhisbug
·4 ay önce·discuss
blog: https://haoailab.com/blogs/fastvideo_realtime_1080p/
zhisbug
·11 ay önce·discuss
live demo is here: https://fastwan.fastvideo.org/
zhisbug
·geçen yıl·discuss
Pokémon is increasingly used to evaluate modern large language models, but current practices lack standardization, and depend heavily on game-specific harness. The Pokémon Red involves three major tasks—navigation, combat control and training a competitive Pokémon team. We find they come with limitations: navigation tasks are too hard, combat control is too simple, and Pokémon team training is too expensive. We address these issues in Lmgame Bench, a new framework offering standardized evaluations and initial results across diverse games.
zhisbug
·geçen yıl·discuss
where other models tops out in a few moves
zhisbug
·geçen yıl·discuss
More details here: https://x.com/haoailab/status/1909712259326394519
zhisbug
·geçen yıl·discuss
We find that spatial perception and spatial reasoning remain very difficult even for the strongest models like o3 or Claude 3.7
zhisbug
·geçen yıl·discuss
gaming agent code here: https://github.com/lmgame-org/GamingAgent/tree/main
zhisbug
·geçen yıl·discuss
https://hao-ai-lab.github.io/blogs/sta/
zhisbug
·geçen yıl·discuss
Sliding tile attention accelerates Hunyuan video generation by 3x with no quality drop and no need for training
zhisbug
·geçen yıl·discuss
Try our demo and let us know
zhisbug
·geçen yıl·discuss
This is pretty clever and seems to have high potential, but it still relies on humans. What if some day all humans cannot outsmart AI?
zhisbug
·geçen yıl·discuss
please try and give us feedback!
zhisbug
·geçen yıl·discuss
We hope to redefine ai evaluation via our gamified AI evaluation platform: game arena!
zhisbug
·geçen yıl·discuss
We study how to approximate the famous shortest-job-first scheduling in LLM inference!
zhisbug
·2 yıl önce·discuss
Hugginface model and data link: https://huggingface.co/FastVideo
zhisbug
·2 yıl önce·discuss
New work from the vLLM team that disaggregates prefill and decoding to maximize goodput (throughput subject to latency constraints) in LLM serving
zhisbug
·3 yıl önce·discuss
New parallel decoding algorithm that trades flops for latency reduction