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reacted to AIPreplabs's post with 👀 6 days ago
We’ve all had that moment where we watch a tutorial, nod along, but then realize we can’t actually do it ourselves because watching is just passive. At AIPrep, we are fixing this "watch and forget" cycle by building a foundational Generative Explanatory Model (GEM). GEM doesn't just give you a video or a wall of text; it builds an interactive lesson that asks you questions, catches your mistakes in real time, and adapts to your pace. We have just finished preparing our specialized datasets for this interactive logic, and you can already check them out on our profile to see how we are structuring this step-by-step reasoning. Training for the foundational model starts very soon, so stay in touch because something revolutionary is coming to the world of AI education. You can see our progress at aiprep.in.
reacted to prithivMLmods's post with 👀 13 days ago
Introducing the Qwen-Image-Edit-3D-Lighting-Control app, featuring 8× horizontal and 3× elevational lighting positions for precise 3D lighting control. It enables studio-level lighting using fast Qwen Image Edit fast inference, paired with Multi-Angle-Lighting adapters. 🔦 🔥 Space: https://huggingface.co/spaces/prithivMLmods/Qwen-Image-Edit-3D-Lighting-Control ✅ Collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection 📂 GitHub: https://github.com/PRITHIVSAKTHIUR/Qwen-Image-Edit-3D-Lighting-Control
reacted to Sri-Vigneshwar-DJ's post with 🔥 13 days ago
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: https://huggingface.co/datasets/Sri-Vigneshwar-DJ/meta-fatigue-grpo-dataset
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