AMD AI DevMaster Hackathon
• 3
AI & ML interests
None defined yet.
Recent Activity
View all activity
Articles
charyanghf
published an article 22 days ago
Article
AMD AI DevMaster Hackathon
LeRobot-worldwide-hackathon
• • 3
AdinaY
submitted a
paper to Daily Papers about 1 month ago
AdinaY
submitted 2
papers to Daily Papers about 2 months ago
lilkm
published a
dataset 2 months ago
Sri-Vigneshwar-DJ
posted an update 3 months ago
Post
174
We ran Feather DB v0.8.0 on LongMemEval (ICLR 2025) — 500 questions across real multi-session conversations, up to 115K tokens each.
**Score: 0.693** · GPT-4o full-context baseline: 0.640
Full 500-question run with Gemini-Flash: **$2.40**
Per-axis breakdown:
→ Info-extraction: **0.942**
→ Knowledge-update: **0.714**
→ Multi-session: **0.606**
→ Temporal: **0.477** ← the hard one, Phase 9 addresses this
Architecture: Hybrid BM25+dense · adaptive temporal decay · embedded (no server) · p50 = 0.19ms · MIT
Raw results + audit JSONs: Hawky-ai/longmemeval-results
We ran Feather DB v0.8.0 on LongMemEval (ICLR 2025) — 500 questions across real multi-session conversations, up to 115K tokens each.
**Score: 0.693** · GPT-4o full-context baseline: 0.640
Full 500-question run with Gemini-Flash: **$2.40**
Per-axis breakdown:
→ Info-extraction: **0.942**
→ Knowledge-update: **0.714**
→ Multi-session: **0.606**
→ Temporal: **0.477** ← the hard one, Phase 9 addresses this
Architecture: Hybrid BM25+dense · adaptive temporal decay · embedded (no server) · p50 = 0.19ms · MIT
pip install feather-dbRaw results + audit JSONs: Hawky-ai/longmemeval-results
MElHuseyni
authored a
paper 3 months ago
MElHuseyni
submitted a
paper to Daily Papers 3 months ago
AdinaY
submitted 2
papers to Daily Papers 4 months ago
AdinaY
submitted 2
papers to Daily Papers 5 months ago
Post
4304
MiniMax M2.5 is now available on the hub 🚀
MiniMaxAI/MiniMax-M2.5
✨ 229B - Modified MIT license
✨37% faster than M2.1
✨ ~$1/hour at 100 TPS
MiniMaxAI/MiniMax-M2.5
✨ 229B - Modified MIT license
✨37% faster than M2.1
✨ ~$1/hour at 100 TPS
- 2 replies
Post
826
RynnBrain 🤖 a physics aware embodied brain for robots from Alibaba DAMO
https://huggingface.co/collections/Alibaba-DAMO-Academy/rynnbrain
✨ 2B/8B/30B (3B active)
✨ Apache 2.0
✨ Understands egocentric scenes with strong spatial awareness
✨ Tracks objects and motion over time
https://huggingface.co/collections/Alibaba-DAMO-Academy/rynnbrain
✨ 2B/8B/30B (3B active)
✨ Apache 2.0
✨ Understands egocentric scenes with strong spatial awareness
✨ Tracks objects and motion over time
- 2 replies
Post
4317
Game on 🎮🚀
While Seedance 2.0’s videos are all over the timeline, DeepSeek quietly pushed a new model update in its app.
GLM-5 from Z.ai adds more momentum.
Ming-flash-omni from Ant Group , MiniCPM-SALA from OpenBMB
, and the upcoming MiniMax M2.5 keep the heat on 🔥
Spring Festival is around the corner,
no one’s sleeping!
✨ More releases coming, stay tuned
https://huggingface.co/collections/zh-ai-community/2026-february-china-open-source-highlights
While Seedance 2.0’s videos are all over the timeline, DeepSeek quietly pushed a new model update in its app.
GLM-5 from Z.ai adds more momentum.
Ming-flash-omni from Ant Group , MiniCPM-SALA from OpenBMB
, and the upcoming MiniMax M2.5 keep the heat on 🔥
Spring Festival is around the corner,
no one’s sleeping!
✨ More releases coming, stay tuned
https://huggingface.co/collections/zh-ai-community/2026-february-china-open-source-highlights
Post
4009
Ming-flash-omni 2.0 🚀 New open omni-MLLM released by Ant Group
inclusionAI/Ming-flash-omni-2.0
✨ MIT license
✨ MoE - 100B/6B active
✨ Zero-shot voice cloning + controllable audio
✨ Fine-grained visual knowledge grounding
inclusionAI/Ming-flash-omni-2.0
✨ MIT license
✨ MoE - 100B/6B active
✨ Zero-shot voice cloning + controllable audio
✨ Fine-grained visual knowledge grounding
- 2 replies
Post
856
LLaDA 2.1 is out 🔥 A new series of MoE diffusion language model released by AntGroup
inclusionAI/LLaDA2.1-mini
inclusionAI/LLaDA2.1-flash
✨LLaDA2.1-mini: 16B - Apache2.0
✨LLaDA2.1-flash: 100B - Apache2.0
✨Both delivers editable generation, RL-trained diffusion reasoning and fast inference
inclusionAI/LLaDA2.1-mini
inclusionAI/LLaDA2.1-flash
✨LLaDA2.1-mini: 16B - Apache2.0
✨LLaDA2.1-flash: 100B - Apache2.0
✨Both delivers editable generation, RL-trained diffusion reasoning and fast inference
- 2 replies
Post
2663
AI for science is moving fast🚀
Intern-S1-Pro 🔬 a MoE multimodal scientific reasoning model from Shanghai AI Lab
internlm/Intern-S1-Pro
✨ 1T total / 22B active
✨ Apache 2.0
✨ SoTA scientific reasoning performance
✨ FoPE enables scalable modeling of long physical time series (10⁰–10⁶)
Intern-S1-Pro 🔬 a MoE multimodal scientific reasoning model from Shanghai AI Lab
internlm/Intern-S1-Pro
✨ 1T total / 22B active
✨ Apache 2.0
✨ SoTA scientific reasoning performance
✨ FoPE enables scalable modeling of long physical time series (10⁰–10⁶)
- 2 replies
Sri-Vigneshwar-DJ
posted an update 6 months ago
Post
1472
Just released a new dataset designed for training reasoning models on Meta (Facebook/Instagram) advertising fatigue detection!
What is it? A GRPO (Group Relative Policy Optimization) training dataset with 200+ carefully crafted scenarios covering:
🔍 Fatigue Signal Detection: CTR drops, CPM spikes, frequency analysis
🩺 Performance Diagnosis: Root cause analysis frameworks
📋 Strategy: Creative refresh cadence, testing frameworks
📊 Analysis: ROI calculations, metric interpretation
Why GRPO? GRPO training helps models learn structured reasoning. Each response follows the <thinking> and <answer> format.
Check it out here: Sri-Vigneshwar-DJ/meta-fatigue-grpo-dataset
What is it? A GRPO (Group Relative Policy Optimization) training dataset with 200+ carefully crafted scenarios covering:
🔍 Fatigue Signal Detection: CTR drops, CPM spikes, frequency analysis
🩺 Performance Diagnosis: Root cause analysis frameworks
📋 Strategy: Creative refresh cadence, testing frameworks
📊 Analysis: ROI calculations, metric interpretation
Why GRPO? GRPO training helps models learn structured reasoning. Each response follows the <thinking> and <answer> format.
Check it out here: Sri-Vigneshwar-DJ/meta-fatigue-grpo-dataset
Post
1457
✨ China’s open source AI ecosystem has entered a new phase
https://huggingface.co/blog/huggingface/one-year-since-the-deepseek-moment-blog-3
One year after the “DeepSeek Moment,” open source has become the default. Models, research, infrastructure, and deployment are increasingly shared to support large-scale, system-level integration.
This final blog examines how leading Chinese AI organizations are evolving ,and what this implies for the future of open source.
https://huggingface.co/blog/huggingface/one-year-since-the-deepseek-moment-blog-3
One year after the “DeepSeek Moment,” open source has become the default. Models, research, infrastructure, and deployment are increasingly shared to support large-scale, system-level integration.
This final blog examines how leading Chinese AI organizations are evolving ,and what this implies for the future of open source.