OnomaAIResearch/Illustrious-XL-v1.1
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Attashe
attashe
AI & ML interests
Neural Network, Object detection, Generative Art
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๐ Empowering Seamless AI App Development without GPU Cloud server: Introducing ZETIC.MLange!
๐ฑ We are thrilled to announce the launch of ZETIC.MLange, end-to-end development tool designed to simplify the creation and deployment of on-device AI solutions.
๐ก What is ZETIC.MLange?
ZETIC.MLange is a comprehensive development platform that enables developers to build, test, and deploy AI models directly on devices. By facilitating on-device AI development, it offers benefits such as enhanced privacy, reduced latency, and offline functionality.
๐ฎ Key Features:
- End-to-End Workflow: One-stop implementation from your AI model to Application project
- On-Device Optimization: Tailor models for efficient performance on various hardware platforms.
- User-Friendly Interface: Intuitive tools and documentation to assist both novice and experienced developers.
๐ Explore More!
- How-to Video: https://youtu.be/MKYi09eRNUE?si=dgNm6VQ-klMyek0q
- Product Page: https://mlange.zetic.ai
- Experience ZETIC.MLange on Mobile:
- Google Play Store: https://play.google.com/store/apps/details?id=com.zeticai.zeticapp
- Apple App Store: https://apps.apple.com/app/zeticapp/id6739862746
๐ซ We believe ZETIC.MLange will be a valuable asset for developers aiming to harness the power of on-device AI. We invite you to explore its capabilities and share your feedback.
#OnDeviceAI #ZETICMLange #AIDevelopment #EdgeComputing
๐ฑ We are thrilled to announce the launch of ZETIC.MLange, end-to-end development tool designed to simplify the creation and deployment of on-device AI solutions.
๐ก What is ZETIC.MLange?
ZETIC.MLange is a comprehensive development platform that enables developers to build, test, and deploy AI models directly on devices. By facilitating on-device AI development, it offers benefits such as enhanced privacy, reduced latency, and offline functionality.
๐ฎ Key Features:
- End-to-End Workflow: One-stop implementation from your AI model to Application project
- On-Device Optimization: Tailor models for efficient performance on various hardware platforms.
- User-Friendly Interface: Intuitive tools and documentation to assist both novice and experienced developers.
๐ Explore More!
- How-to Video: https://youtu.be/MKYi09eRNUE?si=dgNm6VQ-klMyek0q
- Product Page: https://mlange.zetic.ai
- Experience ZETIC.MLange on Mobile:
- Google Play Store: https://play.google.com/store/apps/details?id=com.zeticai.zeticapp
- Apple App Store: https://apps.apple.com/app/zeticapp/id6739862746
๐ซ We believe ZETIC.MLange will be a valuable asset for developers aiming to harness the power of on-device AI. We invite you to explore its capabilities and share your feedback.
#OnDeviceAI #ZETICMLange #AIDevelopment #EdgeComputing
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# Video Tokenization โ for efficient AI video processing
Meet ๐๐ข๐๐๐จ๐ค, a new open-source video tokenization technique developed by Microsoft Research to address the computational challenges of processing large volumes of video data. The core problem VidTok tackles is the inefficiency caused by redundant information in raw video pixels.
VidTok converts complex video footage into compact, structured units called tokens, making it easier and more efficient for AI systems to analyze, understand, and generate video content.
Research Paper: https://arxiv.org/abs/2412.13061
VidTok Code: https://github.com/microsoft/VidTok
Meet ๐๐ข๐๐๐จ๐ค, a new open-source video tokenization technique developed by Microsoft Research to address the computational challenges of processing large volumes of video data. The core problem VidTok tackles is the inefficiency caused by redundant information in raw video pixels.
VidTok converts complex video footage into compact, structured units called tokens, making it easier and more efficient for AI systems to analyze, understand, and generate video content.
Research Paper: https://arxiv.org/abs/2412.13061
VidTok Code: https://github.com/microsoft/VidTok
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