पांडुलिपियों से मशीनों तक: ज्ञान भारतम और भारत की ज्ञान विरासत का डिजिटल पुनर्जागरण

ज्ञान भारतम और भारत की ज्ञान विरासत का डिजिटल पुनर्जागरण

आर्ट‍िफ‍िश‍ियल इंटेलीजेंस व‍िशेषज्ञ डॉ. अम‍ित स‍िंह द्वारा ल‍िख गया यह लेख प्रधानमंत्री नरेंद्र मोदी के “ज्ञान भारतम” अंतर्राष्ट्रीय सम्मेलन में दिए गए संबोधन का परीक्षण करता है और इस बात पर प्रकाश डालता है कि यह भारतीय बड़े भाषा मॉडलों (Indian Large Language Models – LLMs) के विकास के लिए आधारशिला   कैसे रख सकता है। यह लेख आगे आने वाले…

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Artificial Intelligence and In-Demand AI Skills

Artificial Intelligence and AI Skills: Transforming Today’s World

Transforming Today’s World Main Takeaway: Artificial intelligence (AI) empowers machines to perform complex cognitive tasks—learning, reasoning, perception, and decision-—driving innovation across industries. Mastery of AI skills—from foundational programming to advanced model development—unlocks transformative value for organizations and individuals, while rapidly growing AI-related job opportunities underscore the importance of lifelong AI learning. As AI reshapes industries worldwide, mastering both foundational…

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Navigating User-Generated Content: Google’s Reddit Collaboration – $60M Deal

Google’s $60 Million Reddit AI Deal: Enhancing Gemini’s Capabilities

A summary of the current page: Reference: indianexpress.com Aayushman SinghAayushman is a Technical consulting intern at Masterkeys. He is a second year undergraduate, currently pursuing his B.Tech from IMSEC – Institute of management studies engineering college, Ghazaibad. He is a highly enthusiastic individual with a keen interest in Machine learning, Data science and AI and an avid reader of the…

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GUI Options in implementation of Neural Networks

GUI in Neural Networks

When it comes to implementing neural networks using TensorFlow, there are several options available, including both command-line interfaces (CLIs) and graphical user interfaces (GUIs). Let’s explore some of the most popular ones: Remember that while GUIs can be helpful for visualization and exploration, understanding the underlying code and concepts is essential for building robust neural networks. Choose the approach…

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Beyond the Line: How Activation Functions Unlock Complex Learning in Neural Networks

Here are some of the most famous activation functions used in neural networks, along with their advantages and disadvantages: 1. Sigmoid Function: Output: Ranges between 0 and 1 (squashes the input values between 0 and 1). Advantages: Smooth output, making it suitable for modeling probabilities (often used in output layer for binary classification). Well-behaved gradients for backpropagation (a technique…

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