John6666 (John Smith)

reacted to fd3ffff's post with 👀 1 day ago

Post

207

AI dress-up/shoe-changing methods：
1. Go to https://imini.com/e-commerce
2. Select and click on the AI dress-up/shoe-changing/face-changing template.
3. Upload photos directly without having to enter command words yourself.
4. Click "One-click Generation".
5. The AI dress-up/shoe-changing effect is generated and saved locally.

1 reply

·

reacted to s-emanuilov's post with 👍 1 day ago

Post

205

Converted PaddleOCR models to ONNX for easier deployment and faster inference.

These have been working well in production at Monkt.com, so figured I'd share them with the community.

Just straight conversions of the original models—might save you some time if you're building OCR pipelines.

monkt/paddleocr-onnx

reacted to alibidaran's post with ❤️ 1 day ago

Post

1740

This shared notebook comprises the MMLU benchmark evaluating task for my latest reasoning model for the sociology field. The results show that using Few-shot prompting in the system prompt can significantly improve the model's performance at answering questions.

Model's link:
alibidaran/GRPO_LLAMA3-instructive_reasoning1
Notebook evaluation:
https://www.kaggle.com/code/alibidaran/mmlu-socialogy-thinking-evals?scriptVersionId=277240033

reacted to wang12390's post with 🧠 1 day ago

Post

1790

The Art of Speed Painting: Mastering Creativity Under Time Pressure

Speed painting is an artistic technique where the artist has a limited time to finish the work. The time can vary, usually a duration is set from several minutes to a few hours. Unlike sketches, speed paintings may be considered "finished" after the time limit is up.

https://miragic.ai/products/speed-painting

reacted to evalstate's post with 🚀 1 day ago

Post

1928

Hugging Face MCP Server v0.2.45
~~~~~~~~~~~~~~~~~~~~~~~~~~~~

- New! Experimental dynamic_space tool.
- Default Image Generator changed to Qwen-Image-Fast

reacted to ronantakizawa's post with 🔥 1 day ago

Post

2189

Reached 1000+ total downloads across my models and datasets! 🎉

Follow me for more @ronantakizawa

2 replies

·

reacted to onekq's post with 🔥 1 day ago

Post

143

Here is the post on Muon optimizer. It's getting hard core. I tried to visualize orthogonalization but decided to drop it to avoid miscommunication.

https://huggingface.co/blog/onekq/muon-optimizer

No matter which angle I take, I can't detect slowdown. It's the opposite in fact.

reacted to onekq's post with 🔥 2 days ago

Post

2700

The reaction on the QAT post is beyond expectations so below is my optimizer post as promised. But I found that I had lots of explanation to do about optimizer itself. So this post is actually a historical recount. The Muon optimizer (used by Kimi) post (coming very soon) can only continue after this.

https://huggingface.co/blog/onekq/adam-optimizer

If you know Adam(W) optimizer already, you can just skip and sorry for the wait. Otherwise, it should be a useful read.

reacted to ronantakizawa's post with 🔥 2 days ago

Post

2874

Introducing the Japanese honorifics dataset: a dataset with 137 sentences covering the three main keigo forms: 尊敬語 (Sonkeigo), 謙譲語 (Kenjōgo), and 丁寧語 (Teineigo). Each entry includes the base form, all three honorific transformations, and English translations for essential phrases in Japanese. This dataset is perfect for training and evaluating the Japanese skill level of LLMs.

#japanese #japanesedataset

ronantakizawa/japanese-honorifics

reacted to prithivMLmods's post with 🔥 2 days ago

Post

3060

Try the all-new trending Qwen-Image-Edit specialized adapter demos, including Photo-to-Anime, Light Restoration, Multi-Angle Edits, Relighting, and more — all in a single Hugging Face Space. Below is the demo link. 🤗🌠

⮞ Demo-Space: prithivMLmods/Qwen-Image-Edit-2509-LoRAs-Fast
⮞ How-to-Use: prithivMLmods/Qwen-Image-Edit-2509-LoRAs-Fast#2
⮞ Collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection

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

3 replies

·

reacted to anakin87's post with 🧠 2 days ago

Post

2598

LLMs can leak their post-training data (RL included) 💧

New interesting paper on this topic from Google DeepMind: Extracting alignment data in open models (2510.18554)

It's known that Language Models memorize data that can be extracted via prompting.

In this paper, the authors investigate this aspect:
- using open models, where prompting can be fully customized by the user, including special tokens.
- focusing on open-source models like Olmo, where full training data is available.

📤 How do they extract data?

During post-training (like SFT), new tokens such as <|user|> are introduced.

The authors hypothesize prompting the model with these tokens can make it output its alignment data (remember Magpie?).

For example, for SFT, their extraction prompt is <|endoftext|><|user|>.

📏 Evaluating memorization

The authors compare each sampled example with the original data using vector search with embedding similarity.

They find that many outputs are semantically very similar to the original data, even if the exact words differ.

Traditional string-matching algorithms underestimate memorization by 10x.

🔁 What about RL?

Surprisingly, the same technique works to extract data from Reinforcement Learning (PPO/GRPO) phases.

This is counter-intuitive because the RL objective is not designed to increase sequence likelihoods (unlike SFT).

Practical limitation: in this case, extraction relies on using the initial part of the training prompt, which is not generally public.

📈 Are the extracted data effective for post-training?

Both in SFT and RL, the extracted data can be used to fine-tune models to similar performance to the originals.

The authors suggest that model distillation, where a stronger model is used to drive the training of a weaker one, may be a form of indirect training on the original dataset.

reacted to wang12390's post with 👍 2 days ago

Post

2612

AI Clothes Changer -Virtual Try On

Try on new outfits in your photos with the Miragic AI Clothes Changer. Instantly switch styles, test looks, or change clothes in images with just one click—no editing skills needed. It's fast, free, and fun to use!
https://miragic.ai/products/virtual-try-on

1 reply

·

reacted to flozi00's post with 🔥 2 days ago

Post

192

Struggling with NVIDIA drivers on Ubuntu 24.04?
Can't use your GPUs with CUDA installed, or only half of them work?
Black screen after startup or nvidia-smi fails?

The nokaslr boot option might be the cause—and the solution.
Find out why disabling KASLR can fix these GPU issues until a permanent driver update is available.

https://flozi.net/en/guides/linux/solving-nvidia-driver-issues-on-ubuntu-24-04-with-nokaslr

reacted to TravisMuhlestein's post with 🔥 2 days ago

Post

1339

Building Smarter AI Agents: A Tool-Based Architecture for Modularity and Trust

Over the past year, our AI engineering team at GoDaddy has been rethinking how to make agent systems more modular, transparent, and production-ready. Instead of viewing an AI agent as a monolithic process, we’ve decomposed it into four core tools that separate decision-making from execution — a design that’s proving critical for scale and observability:

🧩 MemoryTool – maintains persistent context and user continuity
✅ CompletionTool – determines when a task is truly complete
💬 UserInteractionTool – manages clarifications, approvals, and confirmations
🔁 DelegationTool – enables agents to hand off tasks to other agents or humans

This approach makes every step of an agent’s workflow explicit, testable, and auditable, allowing us to scale AI systems in production with higher confidence. We see this as a step toward a more open, composable agent ecosystem — one where frameworks can interoperate and agents can build trust through transparency and version control.

Read the full write-up here → Building AI Agents at GoDaddy – An Agent’s Toolkit https://www.godaddy.com/resources/news/building-ai-agents-at-godaddy-an-agents-toolkit

We’d love to collaborate and exchange ideas with the community:

- How are you designing modular agent architectures?
- What design patterns or abstractions have helped you manage agent complexity?

Let’s build smarter, safer agents together.

#AI #Agents #Architecture #MachineLearning #OpenSource #AgentFrameworks #TrustInAI

reacted to jzhang533's post with 👍 2 days ago

Post

224

created a tutorial that step by step introduced how I cooked jzhang533/PaddleOCR-VL-For-Manga .
check it here: https://pfcc.blog/posts/paddleocr-vl-for-manga

reacted to sequelbox's post with 🤗 2 days ago

Post

2425

NEW RELEASE: UML Generator is here!

- Our newest Experimental Reasoning release: create Unified Modeling Language diagrams to provide analysis and insight into your queries and situations!
- Multi-step reasoning reliably identifies diagram structure before a user response of XMI 2.5.1 code containing the UML diagram. Load the diagram into the UML tool of your choice!
- Trained in a variety of subjects for flexible analysis: software architecture, software development, business processes, systems engineering, data modeling, microservices, reverse engineering and more!

UML Generator available for multiple sizes of gpt-oss and Qwen 3, to provide increased flexibility to the user:
gpt-oss-120b: sequelbox/gpt-oss-120b-UML-Generator
gpt-oss-20b: sequelbox/gpt-oss-20b-UML-Generator
Qwen3-14B: sequelbox/Qwen3-14B-UML-Generator
Qwen3-4B-Thinking-2507: sequelbox/Qwen3-4B-Thinking-2507-UML-Generator

You can also get the UML Generator dataset, to train your own models to use UML Generator Format: sequelbox/UML-Generator-Dataset-DeepSeek-V3.2

Support our experimental open-source research efforts, models and datasets: sequelbox/SupportOpenSource

See our other Experimental Reasoning models: https://huggingface.co/collections/sequelbox/experimental-reasoning-models

with love,
allegra

reacted to fd3ffff's post with 👍 2 days ago

Post

1803

The methods for generating these interesting AI images:
1. Open https://imini.com/
2. Enter the instruction word.
3. Click "Generate Now".
4. Download, save or share on social media platforms.

reacted to unmodeled-tyler's post with 🔥 2 days ago

Post

1713

NEW RESEARCH MODEL: vanta-research/atom-v1-preview-4b

We are excited to share our Atom V1 4B Preview model! This fine tuned Gemma3 4B variant has a distinct, friendly, and exploratory persona - designed to help the user think and reflect.

Atom is trained to ask questions, use approachable, yet relatable analogies in ELI5-style explanations, and engage in deep, reflective conversation.

We plan to scale Atom's persona to larger architectures, and this iteration was created as part of that R&D.

Any and all feedback is always welcome as we continue to refine our approach.

reacted to mokady's post with 🔥 2 days ago

Post

1432

Fibo technical paper is out:

https://arxiv.org/abs/2511.06876

reacted to elismasilva's post with 👍 4 days ago

Post

2432

I'm thrilled to launch SUP Toolbox! An AI tool for image restoration & upscaling using SUPIR, FaithDiff & ControlUnion. Built with Diffusers and Gradio UI featuring 14 custom components I developed.

Space Demo: elismasilva/sup-toolbox-app
App repository: https://github.com/DEVAIEXP/sup-toolbox-app
CLI repository: https://github.com/DEVAIEXP/sup-toolbox

Feedback is welcome!

2 replies

·

John Smith PRO

AI & ML interests

Recent Activity

Organizations

John Smith PRO

AI & ML interests

Recent Activity

Organizations

John6666's activity