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limingcv  submitted a paper 1 day ago
ViPO: Visual Preference Optimization at Scale
limingcv  submitted a paper 1 day ago
Learning from Noisy Preferences: A Semi-Supervised Learning Approach to Direct Preference Optimization
zhiqiulin  submitted a paper 5 days ago
Building a Precise Video Language with Human-AI Oversight
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Tonic 
posted an update 4 days ago
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3882
🙋🏻‍♂️ Hey there folks,

since everyone liked my previous announcement post ( https://huggingface.co/posts/Tonic/338509028435394 ) so much , i'm back with more high quality proceedural datasets in the Geospacial domain for SFT training !

Check this one out :
NuTonic/sat-bbox-metadata-sft-v1

the goal is to be able to train vision models on multiple images for remote sensing analysis with one shot .

hope you like it ! 🚀
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zhiqiulin 
submitted a paper to Daily Papers 5 days ago
wangfuyun 
authored a paper 5 days ago
Tonic 
posted an update 9 days ago
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3459
🙋🏻‍♂️ Hey there folks ,

I'm sharing huggingface's largest dataset of annotated statelite images today.

check it out here : NuTonic/sat-image-boundingbox-sft-full

I hope you like it , the idea is to be able to use this with small vision models 🚀
PeterL1n 
authored a paper 12 days ago
mrfakename 
in zero-gpu-explorers/README 14 days ago

Why doesn't anyone host llms in zerogpu spaces?

8
#172 opened 16 days ago by
Reality123b
nroggendorff 
in zero-gpu-explorers/README 15 days ago

Why doesn't anyone host llms in zerogpu spaces?

8
#172 opened 16 days ago by
Reality123b
PeterL1n 
authored a paper 17 days ago
TitleOS 
posted an update 17 days ago
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132
I taught an old dog, or in this case model, new tricks. Meet Galactic Reasoning 1.3B: https://huggingface.co/collections/TitleOS/galactic-reasoning-galactica-with-chain-of-thought. By finetuning Meta's (at the time Facebook) Galactica model against
glaiveai glaiveai/reasoning-v1-20m. After training for 1000 steps on my poor overworked Tesla P40 for 48 hours, I was able to produce a merged FP16, LoRA and quantization Q8 weights. Check out the readme.md for an example CoT.
djstrong 
submitted a paper to Daily Papers 18 days ago
PeterL1n 
submitted a paper to Daily Papers 18 days ago
wren93 
authored a paper 23 days ago
djstrong 
authored 2 papers 24 days ago
Bils 
posted an update 27 days ago
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2727
Avatars are everywhere, but here is the reality behind full-system marketing automation. 🚀
Many see "Madame AI" simply as an AI news presenter. She is far deeper than that. Madame AI is a Real-time Agentic AI Assistant we developed to orchestrate entire workflows for marketing and professional media. She manages UGC (User-Generated Content), understands marketing system automation intuitively, and handles complex media tasks.
We have solved the character consistency and high production cost bottlenecks that traditionally required immense training and time. By precisely orchestrating every computational step behind videos and branded designs, we have fully automated the pipeline and significantly reduced costs.
This capability is built on our extensive experience managing large-scale automation projects with complex requirement documentation (PRD).
Grabclip is our public portal and the practical result of that journey. It is the interface where "Madame AI" acts as the intelligent engine.
We have spent three years building this pipeline with a clear goal: a 100% local, end-to-end solution that operates despite external restrictions.
See the live example on YouTube (our fast-paced AI news podcast with Madame AI) and try the automation portal yourself👇
📺 The Playlist: https://www.youtube.com/playlist?list=PLwEbW4bdYBSCVSziFfJYq4zXop_cyHquO
🌐 Our Portal (Grabclip) — The first practical step in our pipeline: https://grabclip.bilsimaging.com/
hashtag#AgenticAI hashtag#VirtualInfluencer hashtag#FutureOfWork hashtag#GenerativeAI hashtag#TunisiaTech hashtag#MarketingAutomation hashtag#100PercentLocal hashtag#OSMedia hashtag#Grabclip hashtag#RealTimeAssistant hashtag#UGC hashtag#ProfessionalMedia hashtag#TunisiaAI
KBlueLeaf 
authored a paper about 1 month ago
Severian 
posted an update about 1 month ago
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4444
I’ve been working on a new mathematical approach to real-time video compositing and background removal, and I wanted to share a live demo.

Traditionally, real-time keyers either use 3D color-space bounding boxes (which struggle with semi-transparent hair and motion blur) or heavy Machine Learning models (which require massive GPU compute and often suffer from temporal "jitter" on the edges).

I wanted to see if I could solve this using purely deterministic math so it could run client-side in a standard browser.

The engine uses a custom mathematical framework I call CMT SRL SEFA. Instead of looking at raw color values or guessing semantics like an AI, it treats the video feed as complex-encoded sequences. It uses harmonic frequencies to map phase geometry and applies a "Stability Cost Function" to find the global minimum stability. In short: it isolates the foreground from the background by measuring signal complexity and structural contradictions.

Give it a try using your own messy plates and such. As I am not a VFX artist, I am curious to hear thoughts and what should be improved upon and made better

https://severian-cmt-sefa-realtime-vfx-keyer.hf.space/
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thecollabagepatch 
posted an update about 1 month ago
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179
just released v3 of gary, the ai plugin for music producers

there's 6 music models inside it now that all do different stuff...

newest models:

ace-step-1.5: get vocals overtop your instrumentals or extend tracks

RoyalCities/Foundation-1: bpm and key-aware synth loops with deep knowledge of fx/timbre

i turn my guitar into bleepy bloops

https://thepatch.gumroad.com/l/gary4juce

i self-host a backend so anyone can use, all open weight models
ZennyKenny 
posted an update about 2 months ago
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3233
🤔 So we're supposed to post our repo storage graphs now right?
ZennyKenny 
posted an update about 2 months ago
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191
One of my New Year's resolutions was to journal more. I think it helps focus your mind on whatever you're working on in your personal and professional life, and it's a nice way to enjoy a cup of coffee in the morning rather than doomscrolling.

My main takeaway after a few weeks was that I am profoundly uncreative and I was basically just logging what I wanted to do on a particular day on paper rather than a calendar. So it was like a less-helpful, analog version of Notion.

Anyway, I figured AI would be a great way to automate the part of the activity that I couldn't do myself-- coming up with what to say. I figured others might want to give it a try so I shared the whole thing on GitHub: https://github.com/kghamilton89/personal-development-journal

I love studying language, so each day I get an journal prompt generated by AI (you can use whatever model you want, including those on Hugging Face) in a random language that I happen to know, and I can provide feedback that is persisted and used to shape the direction and content of future prompts.

Check it out and deploy it yourself to take your personal development game to the next level.
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