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DawnC 
posted an update 2 days ago
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3164
PawMatchAI 🐾: The Complete Dog Breed Platform

PawMatchAI offers a comprehensive suite of features designed for dog enthusiasts and prospective owners alike. This all-in-one platform delivers five essential tools to enhance your canine experience:

1. 🔍Breed Detection: Upload any dog photo and the AI accurately identifies breeds from an extensive database of 124+ different dog breeds. The system detects dogs in the image and provides confident breed identification results.

2.📊Breed Information: Access detailed profiles for each breed covering exercise requirements, typical lifespan, grooming needs, health considerations, and noise behavior - giving you complete understanding of any breed's characteristics.

3.📋 Breed Comparison : Compare any two breeds side-by-side with intuitive visualizations highlighting differences in care requirements, personality traits, health factors, and more - perfect for making informed decisions.

4.💡 Breed Recommendation: Receive personalized breed suggestions based on your lifestyle preferences. The sophisticated matching system evaluates compatibility across multiple factors including living space, exercise capacity, experience level, and family situation.

5.🎨 Style Transfer: Transform your dog photos into artistic masterpieces with five distinct styles: Japanese Anime, Classic Cartoon, Oil Painting, Watercolor, and Cyberpunk - adding a creative dimension to your pet photography.

👋Explore PawMatchAI today:
DawnC/PawMatchAI

If you enjoy this project or find it valuable for your canine companions, I'd greatly appreciate your support with a Like❤️ for this project.

#ArtificialIntelligence #MachineLearning #ComputerVision #PetTech #TechForLife
MonsterMMORPG 
posted an update 2 days ago
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2178
TRELLIS is still the lead Open Source AI model to generate high-quality 3D Assets from static images — Some mind blowing examples — Supports multi-angle improved image to 3D as well — Works as low as 6 GB GPUs


Tutorial link : https://www.youtube.com/watch?v=EhU7Jil9WAk

App Link : https://www.patreon.com/posts/Trellis-App-Installer-Zip-File-117470976

Our app is super advanced with so many features and supports as low as 6 GB GPUs

Also fully supports RTX 5000 GPUs as well

TRELLIS is currently the state of the art locally run-able open source image-to-3D very high quality asset generator. I have developed a 1-click installers and super advanced Gradio app for this model with so many amazing features. In this tutorial video I will show you how to step by step use this amazing AI tool and generate the very best very high-quality 3D assets locally. Moreover, you can also use this tool on RunPod and Massed Compute as well if you are GPU poor.

🔗Follow below link to download the zip file that contains Trellis installer and Gradio App - the one used in the tutorial ⤵️
▶️ https://www.patreon.com/posts/Trellis-App-Installer-Zip-File-117470976

🔗 Python, Git, CUDA, C++ Tools, FFmpeg, cuDNN, MSVC installation tutorial - needed for AI apps - 1-time only setup⤵️
▶️ https://youtu.be/DrhUHnYfwC0

🔗 SECourses Official Discord 10500+ Members ⤵️
▶️ https://discord.com/servers/software-engineering-courses-secourses-772774097734074388

🔗 Stable Diffusion, FLUX, Generative AI Tutorials and Resources GitHub ⤵️
▶️ https://github.com/FurkanGozukara/Stable-Diffusion

🔗 SECourses Official Reddit - Stay Subscribed To Learn All The News and More ⤵️
▶️ https://www.reddit.com/r/SECourses/

🔗Official TRELLIS Repo ⤵️
▶️ https://github.com/microsoft/TRELLIS
m-ric 
posted an update 2 days ago
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3347
I've made an open version of Google's NotebookLM, and it shows the superiority of the open source tech task! 💪

The app's workflow is simple. Given a source PDF or URL, it extracts the content from it, then tasks Meta's Llama 3.3-70B with writing the podcast script, with a good prompt crafted by @gabrielchua ("two hosts, with lively discussion, fun notes, insightful question etc.")
Then it hands off the text-to-speech conversion to Kokoro-82M, and there you go, you have two hosts discussion any article.

The generation is nearly instant, because:
> Llama 3.3 70B is running at 1,000 tokens/seconds with Cerebras inference
> The audio is generated in streaming mode by the tiny (yet powerful) Kokoro, generating voices faster than real-time.

And the audio generation runs for free on Zero GPUs, hosted by HF on H200s.

Overall, open source solutions rival the quality of closed-source solutions at close to no cost!

Try it here 👉👉 m-ric/open-notebooklm
  • 2 replies
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ProCreations 
posted an update 1 day ago
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1496
What do you think of Intellite’s new icons/logo? Let us know!

Also Intellite chat technically does work! But we decided to scale it up a bit (same parameter count at 100m, but we went from trained on 4b tokens to 200b tokens, big upgrade!) for max quality.
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Kseniase 
posted an update about 12 hours ago
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1010
11 Alignment and Optimization Algorithms for LLMs

When we need to align models' behavior with the desired objectives, we rely on specialized algorithms that support helpfulness, accuracy, reasoning, safety, and alignment with user preferences. Much of a model’s usefulness comes from post-training optimization methods.

Here are the main optimization algorithms (both classic and new) in one place:

1. PPO (Proximal Policy Optimization) -> Proximal Policy Optimization Algorithms (1707.06347)
Clips the probability ratio to prevent the new policy from diverging too far from the old one. It helps keep everything stable

2. DPO (Direct Preference Optimization) -> Direct Preference Optimization: Your Language Model is Secretly a Reward Model (2305.18290)
It's a non RL method, where an LM is an implicit reward model. It uses a simple loss to boost the preferred answer’s probability over the less preferred one

3. GRPO (Group Relative Policy Optimization) -> DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models (2402.03300)
An RL method that compares a group of model outputs for the same input and updates the policy based on relative rankings. It doesn't need a separate critic model
It's latest application is Flow-GRPO which adds online RL into flow matching models -> Flow-GRPO: Training Flow Matching Models via Online RL (2505.05470)

4. DAPO (Decoupled Clip and Dynamic sAmpling Policy Optimization) -> DAPO: An Open-Source LLM Reinforcement Learning System at Scale (2503.14476)
Decouples the clipping bounds for flexibility, introducing 4 key techniques: clip-higher (to maintain exploration), dynamic sampling (to ensure gradient updates), token-level loss (to balance learning across long outputs), and overlong reward shaping (to handle long, truncated answers)

5. Supervised Fine-Tuning (SFT) -> Training language models to follow instructions with human feedback (2203.02155)
Often the first post-pretraining step. A model is fine-tuned on a dataset of high-quality human-written input-output pairs to directly teach desired behaviors

More in the comments 👇

If you liked it, also subscribe to the Turing Post: https://www.turingpost.com/subscribe
  • 1 reply
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prithivMLmods 
posted an update 1 day ago
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1766
Dropping some image classification models for content moderation, balancers, and classifiers trained on synthetic datasets—along with others based on datasets available on the Hub. Also loaded a few low-rank datasets for realistic gender portrait classification and document-type classifiers, all fine-tuned on the SigLIP-2 Patch-16 224 backbone. Models and datasets are listed below:

🤗Models & Datasets :

Realistic Gender Classification : prithivMLmods/Realistic-Gender-Classification
⎙ prithivMLmods/Realistic-Portrait-Gender-1024px
Document Type Detection : prithivMLmods/Document-Type-Detection
⎙ prithivMLmods/Document-Type-Detection
Face Mask Detection : prithivMLmods/Face-Mask-Detection
⎙ DamarJati/Face-Mask-Detection
Alzheimer Stage Classifier : prithivMLmods/Alzheimer-Stage-Classifier
⎙ SilpaCS/Augmented_alzheimer
Bone Fracture Detection : prithivMLmods/Bone-Fracture-Detection
⎙ Hemg/bone-fracture-detection
GiD Land Cover Classification : prithivMLmods/GiD-Land-Cover-Classification
⎙ jonathan-roberts1/GID

🤗Collection : prithivMLmods/siglip2-05102025-681c2b0e406f0740a993fc1c

To know more about it, visit the model card of the respective model.
wolfram 
posted an update 4 days ago
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6814
Finally finished my extensive **Qwen 3 evaluations** across a range of formats and quantisations, focusing on **MMLU-Pro** (Computer Science).

A few take-aways stood out - especially for those interested in local deployment and performance trade-offs:

1️⃣ **Qwen3-235B-A22B** (via Fireworks API) tops the table at **83.66%** with ~55 tok/s.
2️⃣ But the **30B-A3B Unsloth** quant delivered **82.20%** while running locally at ~45 tok/s and with zero API spend.
3️⃣ The same Unsloth build is ~5x faster than Qwen's **Qwen3-32B**, which scores **82.20%** as well yet crawls at <10 tok/s.
4️⃣ On Apple silicon, the **30B MLX** port hits **79.51%** while sustaining ~64 tok/s - arguably today's best speed/quality trade-off for Mac setups.
5️⃣ The **0.6B** micro-model races above 180 tok/s but tops out at **37.56%** - that's why it's not even on the graph (50 % performance cut-off).

All local runs were done with LM Studio on an M4 MacBook Pro, using Qwen's official recommended settings.

**Conclusion:** Quantised 30B models now get you ~98 % of frontier-class accuracy - at a fraction of the latency, cost, and energy. For most local RAG or agent workloads, they're not just good enough - they're the new default.

Well done, Qwen - you really whipped the llama's ass! And to OpenAI: for your upcoming open model, please make it MoE, with toggleable reasoning, and release it in many sizes. *This* is the future!
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Jaward 
posted an update about 14 hours ago
blaise-tk 
posted an update 1 day ago
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1066
Today we launch Dione.

A few months ago it was just a wild idea I shared with @bygimenez , now it's real.

Dione (Beta) is here, the easiest way to discover and install open-source apps, especially AI ones.

Think of it as the Steam of open source. Installing open-source tools is often a mess. Dione fixes that.

Beautiful UI and workflow. Soon multi-platform, multilingual & fully open-source.
Users can even write and share their own installation scripts. This is just the beginning.

🚀 Join our exclusive Beta
→ https://getdione.app/beta/join
onekq 
posted an update 2 days ago
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1974
The new Mistral medium model is very impressive for its size. Will it be open sourced given the history of Mistral? Does anyone have insights?

onekq-ai/WebApp1K-models-leaderboard
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