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faiez43

mohd43

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upvoted a collection 14 days ago

reacted to WizardLM's post with 🚀 2 months ago

🔥 🔥🔥 Excited to announce WizardLM new Paper: Auto Evol-Instruct! 🐦 Twitter: https://x.com/WizardLM_AI/status/1812857977122202087 📃 Paper: https://arxiv.org/pdf/2406.00770 🤖 1. Fully AI-Powered Pipeline Auto Evol-Instruct automatically involves an iterative process of optimizing an Evol-Instruct V1 into an optimal one. The pipeline consists of two critical stages: Evol Trajectory Analysis, where the optimizer LLM analyzes the issues and failures exposed in instruction evolution performed by the evol LLM, and Evolving Method Optimization, where the optimizer LLM addresses these issues to progressively develop an effective evolving method. The optimal evolving method is then used to convert the entire instruction dataset into more diverse and complex forms, facilitating improved instruction tuning. 📈2. Scaling Evol-Instruct with Arena Learning With Auto Evol-Instruct, the evolutionary synthesis data of WizardLM-2 has scaled up from WizardLM-1 to dozens of domains, covering tasks in all aspects of large language models. This allows Arena Learning to train and learn from an almost infinite pool of high-difficulty instruction data, fully unlocking all the potential of Arena Learning.

published a model 3 months ago

mohd43/speecht5_finetuned_voxpopuli_nl

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upvoted a collection 14 days ago

DINOv3

DINOv3: foundation models producing excellent dense features, outperforming SotA w/o fine-tuning - https://arxiv.org/abs/2508.10104 • 13 items • Updated 20 days ago • 292

upvoted a paper 7 months ago

Learning Flow Fields in Attention for Controllable Person Image Generation

Paper • 2412.08486 • Published Dec 11, 2024 • 37