1234aurel/gfd
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1234aurel
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updated
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1234aurel's activity
updated
a
model
about 6 hours ago
reacted to
AdinaY's
post with 👍
about 23 hours ago
Post
1765
Exciting release from 3D-focused startup - VastAIResearch
They just dropped 2 open 3D models on the hub 🚀
✨TripoSG: 1.5B MoE Transformer 3D model
Model: VAST-AI/TripoSG
Paper: TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models (2502.06608)
✨ TripoSF: 3D shape modeling with SparseFlex, enabling high-resolution reconstruction (up to 1024³)
Model: VAST-AI/TripoSF
Paper: SparseFlex: High-Resolution and Arbitrary-Topology 3D Shape Modeling (2503.21732)
They just dropped 2 open 3D models on the hub 🚀
✨TripoSG: 1.5B MoE Transformer 3D model
Model: VAST-AI/TripoSG
Paper: TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models (2502.06608)
✨ TripoSF: 3D shape modeling with SparseFlex, enabling high-resolution reconstruction (up to 1024³)
Model: VAST-AI/TripoSF
Paper: SparseFlex: High-Resolution and Arbitrary-Topology 3D Shape Modeling (2503.21732)
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- 3 replies
reacted to
AdinaY's
post with ❤️
about 23 hours ago
Post
2774
SkyReels-A2 🚀 an open framework for controllable video generation from text + images, released by Skywork, KunLun
✨Model:
Skywork/SkyReels-A2
✨Paper:
SkyReels-A2: Compose Anything in Video Diffusion Transformers (2504.02436)
✨Model:
Skywork/SkyReels-A2
✨Paper:
SkyReels-A2: Compose Anything in Video Diffusion Transformers (2504.02436)
- 1 reply
updated
5
models
4 days ago
published
a
model
4 days ago
1234aurel/hhhy
2
#529 opened 6 days ago
by
1234aurel
1234aurel/hhhy
2
#529 opened 6 days ago
by
1234aurel
updated
a
model
6 days ago
updated
3
models
7 days ago
replied to
BrigitteTousi's
post
7 days ago
reacted to
BrigitteTousi's
post with 🤗
7 days ago
Post
2873
AI agents are transforming how we interact with technology, but how sustainable are they? 🌍
Design choices — like model size and structure — can massively impact energy use and cost. ⚡💰 The key takeaway: smaller, task-specific models can be far more efficient than large, general-purpose ones.
🔑 Open-source models offer greater transparency, allowing us to track energy consumption and make more informed decisions on deployment. 🌱 Open-source = more efficient, eco-friendly, and accountable AI.
Read our latest, led by @sasha with assists from myself + @yjernite 🤗
https://huggingface.co/blog/sasha/ai-agent-sustainability
Design choices — like model size and structure — can massively impact energy use and cost. ⚡💰 The key takeaway: smaller, task-specific models can be far more efficient than large, general-purpose ones.
🔑 Open-source models offer greater transparency, allowing us to track energy consumption and make more informed decisions on deployment. 🌱 Open-source = more efficient, eco-friendly, and accountable AI.
Read our latest, led by @sasha with assists from myself + @yjernite 🤗
https://huggingface.co/blog/sasha/ai-agent-sustainability
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- 1 reply
reacted to
sequelbox's
post with 👍
7 days ago
Post
1679
TITANIUM 2 Deepseek-R1 dataset is here! Open-source synthetic architecture and DevOps dataset:
sequelbox/Titanium2-DeepSeek-R1
Esper 3 will be coming out soon for multiple base models, trained on Titanium, Raiden, and more :)
with my love,
allegra
Esper 3 will be coming out soon for multiple base models, trained on Titanium, Raiden, and more :)
with my love,
allegra
reacted to
fdaudens's
post with ❤️
7 days ago
Post
3564
I read the 456-page AI Index report so you don't have to (kidding). The wild part? While AI gets ridiculously more accessible, the power gap is actually widening:
1️⃣ The democratization of AI capabilities is accelerating rapidly:
- The gap between open and closed models is basically closed: difference in benchmarks like MMLU and HumanEval shrunk to just 1.7% in 2024
- The cost to run GPT-3.5-level performance dropped 280x in 2 years
- Model size is shrinking while maintaining performance - Phi-3-mini hitting 60%+ MMLU at fraction of parameters of early models like PaLM
2️⃣ But we're seeing concerning divides deepening:
- Geographic: US private investment ($109B) dwarfs everyone else - 12x China's $9.3B
- Research concentration: US and China dominate highly-cited papers (50 and 34 respectively in 2023), while next closest is only 7
- Gender: Major gaps in AI skill penetration rates - US shows 2.39 vs 1.71 male/female ratio
The tech is getting more accessible but the benefits aren't being distributed evenly. Worth thinking about as these tools become more central to the economy.
Give it a read - fascinating portrait of where AI is heading! https://hai-production.s3.amazonaws.com/files/hai_ai_index_report_2025.pdf
1️⃣ The democratization of AI capabilities is accelerating rapidly:
- The gap between open and closed models is basically closed: difference in benchmarks like MMLU and HumanEval shrunk to just 1.7% in 2024
- The cost to run GPT-3.5-level performance dropped 280x in 2 years
- Model size is shrinking while maintaining performance - Phi-3-mini hitting 60%+ MMLU at fraction of parameters of early models like PaLM
2️⃣ But we're seeing concerning divides deepening:
- Geographic: US private investment ($109B) dwarfs everyone else - 12x China's $9.3B
- Research concentration: US and China dominate highly-cited papers (50 and 34 respectively in 2023), while next closest is only 7
- Gender: Major gaps in AI skill penetration rates - US shows 2.39 vs 1.71 male/female ratio
The tech is getting more accessible but the benefits aren't being distributed evenly. Worth thinking about as these tools become more central to the economy.
Give it a read - fascinating portrait of where AI is heading! https://hai-production.s3.amazonaws.com/files/hai_ai_index_report_2025.pdf
- 3 replies