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omarkamali 
posted an update 2 days ago
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3067
Hello picomon! AMD GPU Monitoring made easy

Just run uvx picomon and behold:
┌──────────────────────────────────────────┐  ┌──────────────────────────────────────────┐
│ GPU 0  GFX  42%  UMC  21%                │  │ GPU 1  GFX  78%  UMC  66%                │
│ PWR 135/250W (54%)  VRAM 10.0/16.0GB 62% │  │ PWR 210/250W (84%)  VRAM 14.5/16.0GB 90% │
│                                          │  │                                          │
│ GFX ▁▂▂▃▄▄▅▆▆▇█▇▆▅▄▃▂▁                   │  │ GFX ▂▃▄▅▆▇██▇▆▅▄▂▂▃▅▆                    │
│ PWR ▁▁▂▂▃▄▄▅▆▇██▇▆▅▄▂▁                   │  │ PWR ▂▂▃▄▅▆▇██▇▆▅▄▃▂▂▃                    │
│ VRM ▁▁▂▂▃▄▄▅▆▇███▇▆▅▄▂                   │  │ VRM ▂▃▄▅▆▆▇███▇▆▅▄▃▂▂                    │
└──────────────────────────────────────────┘  └──────────────────────────────────────────┘


Repo at https://github.com/omarkamali/picomon
Or pypi at https://pypi.org/project/picomon
sergiopaniego 
posted an update 4 days ago
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2587
Want to get started with fine-tuning but don’t know where to begin? 🤓☝️

We’re expanding our collection of beginner-friendly free Colab notebooks so you can learn and fine-tune models using TRL at no cost

🔬 Check out the full list of free notebooks: https://huggingface.co/docs/trl/main/en/example_overview#notebooks

🔬 If you want more advanced content, we also have a lot to cover in the community tutorials: https://huggingface.co/docs/trl/community_tutorials

And now the obvious question: what would you like us to add next?
codelion 
posted an update 3 days ago
Kseniase 
posted an update 1 day ago
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2207
15 Outstanding Research Papers from NeurIPS 2025

NeurIPS 2025, as a premier annual event in machine learning and computational neuroscience, tackles major topics like the future of AI, current research, and the most difficult challenges. While we’re not attending this year, we’re closely following the updates and today we pull together a quick, easy-to-digest roundup of a few standout papers so you can jump in without getting overwhelmed.

Here is a list of 15 papers from NeurIPS 2025, including 8 top research papers that received awards, along with 7 others that caught our attention:

1. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks → https://neurips.cc/virtual/2025/loc/san-diego/test-of-time/128328
Test of Time Award winner. Introduces the RPN, a small convnet that predicts objectness and boxes on shared features, enabling Faster R-CNN to share computation and run around 5 fps on a GPU

2. Artificial Hivemind: The Open-Ended Homogeneity of LMs (and Beyond) → https://neurips.cc/virtual/2025/loc/san-diego/poster/121421
Releases a huge open-ended prompt dataset, showing that LLMs often fall into an “artificial hivemind” – generate surprisingly similar answers – and measuring diversity collapse

3. Optimal Mistake Bounds for Transductive Online Learning → https://neurips.cc/virtual/2025/loc/san-diego/poster/119098
Settles a 30-year-old question by showing how much unlabeled data helps in online learning – it gives a precise quadratic advantage with tight matching bounds

4. Gated Attention for LLMs: Non-linearity, Sparsity, and Attention-Sink-Free → https://neurips.cc/virtual/2025/loc/san-diego/poster/120216
Demonstrates how gating actually affects attention: a simple sigmoid gate after Scaled Dot-Product Attention (SDPA) boosts performance, stability, and long-context behavior by adding useful nonlinearity and sparse modulation

Read further below ⬇️
Also, subscribe to the Turing Post: https://www.turingpost.com/subscribe
  • 1 reply
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MonsterMMORPG 
posted an update about 23 hours ago
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1147

Don't forget to checkout our latest amazing training tutorial

Z-Image Turbo LoRA training with AI Toolkit and Z-Image ControlNet Full Tutorial for Highest Quality

https://youtu.be/ezD6QO14kRc
rajkumarrawal 
posted an update 1 day ago
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1284
September(2025) LLM Core Knowledge & Reasoning Benchmarks Report By AiParivartanResearchLab (AIPRL-LIR)

Monthly LLM's Intelligence Reports for AI Decision Makers :
Our "aiprl-llm-intelligence-report" repo to establishes (AIPRL-LIR) framework for Large Language Model overall evaluation and analysis through systematic monthly intelligence reports. Unlike typical AI research papers or commercial reports. It provides structured insights into AI model performance, benchmarking methodologies, Multi-hosting provider analysis, industry trends ...

( all in one monthly report ) Leading Models & Companies, 23 Benchmarks in 6 Categories, Global Hosting Providers, & Research Highlights

Here’s what you’ll find inside this month’s intelligence report:-

Leading Models & Companies :
openai , Anthropic , meta-llama , deepmind google , mistralai , Cohere , Qwen , deepseek-ai , MicrosoftResearch , amazonwebservices , nvidia , grokgpt-org and more.

23 Benchmarks in 6 Categories :
With a special focus on Core Knowledge & Reasoning performance across diverse tasks.

Repository link is in comments below :

https://huggingface.co/blog/rajkumarrawal/september-2025-aiprl-lir-core-knowledge-reasoning#6935ab96da60512619b7cf1f
  • 3 replies
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codelion 
posted an update about 20 hours ago
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269
Recently, Essential AI released a new 8B base model EssentialAI/rnj-1 they highlighted the importance of data mix for pretraning -

"In the long run, we expect our methods to automatically represent, transform, and blend data to optimize measurable abilities in pre-training. Our work on modeling data taxonomies led to new approaches for jointly clustering and mixing data distributions under data repetition penalties. Many improvements in our STEM abilities can be traced back to this. "

This resonates with the recent work we did around optimal dataset mixing for pretraining where we saw have the right mix can increase the efficiency of training -
https://huggingface.co/blog/codelion/optimal-dataset-mixing
prithivMLmods 
posted an update 1 day ago
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453
Try CUA GUI Operator 🖥️ Space, the demo of some interesting multimodal ultra-compact Computer Use Agent (CUA) models in a single app, including Fara-7B, UI-TARS-1.5-7B, and Holo models, to perform GUI localization tasks.

● CUA-GUI-Operator [Demo]: prithivMLmods/CUA-GUI-Operator
● Collection: https://huggingface.co/collections/prithivMLmods/multimodal-implementations

Other related multimodal spaces

● Qwen3-VL: prithivMLmods/Qwen3-VL-HF-Demo
● Multimodal-VLM-v1.0: prithivMLmods/Multimodal-VLM-v1.0
● Vision-to-VibeVoice-en: prithivMLmods/Vision-to-VibeVoice-en

I have planned to add Chrome sandboxes to streamline it and turn it into a browser based CUA multimodal tool, which will be added to the same space soon.

To know more about it, visit the app page or the respective model page!
  • 1 reply
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ovi054 
posted an update 3 days ago
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2835
Anim Lab AI⚡

Turn any math concept or logic into a clear video explanation instantly using AI.

This is my submission for the MCP 1st Birthday Hackathon, and it’s already crossed 1,000 runs.

👉 Try it now: MCP-1st-Birthday/anim-lab-ai

Demo outputs are attached 👇
prithivMLmods 
posted an update 3 days ago
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3457
One speech model with seven voices, streamlined with multimodal capabilities for vision tasks. Performs vision(image-text) to audio inference with Qwen2.5-VL + VibeVoice-Realtime-0.5B. Vision to VibeVoice (EN) - The demo is live. 🗣️🔥

🤗 Vision-to-VibeVoice-en [Demo]: prithivMLmods/Vision-to-VibeVoice-en
✨ Collection: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
✨ Speech [VibeVoice-Realtime-0.5B]: microsoft/VibeVoice-Realtime-0.5B
✨ Vision [Qwen2.5-VL]: Qwen/Qwen2.5-VL-7B-Instruct

To know more about it, visit the app page or the respective model page!
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