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Source channel @githubtrending · Post #15271 · Nov 5

#cplusplus#arm#baidu#deep_learning#embedded#fpga#mali#mdl#mobile#mobile_deep_learning#neural_network Paddle Lite is a lightweight, high-performance deep learning inference framework designed to run AI models efficiently on mobile, embedded, and edge devices. It supports multiple platforms like Android, iOS, Linux, Windows, and macOS, and languages including C++, Java, and Python. You can easily convert models from other frameworks to PaddlePaddle format, optimize them for faster and smaller deployment, and run them with ready-made examples. This helps you deploy AI applications quickly on various devices with low memory use and fast speed, making it ideal for real-time, resource-limited environments. It also supports many hardware accelerators for better performance. https://github.com/PaddlePaddle/Paddle-Lite

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Inspiring Thoughts

@Inspiringthoughts · Post #10892 · 07/21/2025, 12:08 AM

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At the tender age of seven, Pranjali Awasthi embarked on her coding journey under the guidance of her engineer father. This early exposure ignited a passion for technology that would shape her future. By thirteen, Pranjali was interning at Florida International University, delving into machine learning projects. These experiences highlighted the challenges researchers face in data extraction, inspiring her to seek innovative solutions. In January 2022, at just sixteen, she founded Delv.AI, an AI-powered platform designed to streamline data extraction for researchers. The startup quickly gained traction, securing approximately $450,000 in funding from notable investors. Within a year, Delv.AI achieved a valuation of around ₹100 crore (approximately $12 million), a testament to Pranjali’s vision and determination. Pranjali’s journey exemplifies the power of early passion, innovative thinking, and unwavering dedication. Her story serves as an inspiration to aspiring entrepreneurs worldwide. #YoungEntrepreneur#AIInnovation#WomenInTech#TechProdigy#StartupSuccess#Marketinggrowmatics

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