Gyan Bharatam: Laying the Foundation for Indian LLMs

ज्ञान भारतम और भारत की ज्ञान विरासत का डिजिटल पुनर्जागरण

From Manuscripts to Machines: Gyan Bharatam and the Digital Renaissance of India’s Knowledge Legacy rime Minister Narendra Modi launched the Gyan Bharatam Portal on Friday, a comprehensive digital platform designed to preserve and provide global access to India’s vast collection of ancient manuscripts. The initiative aims to digitize one crore manuscripts, representing what Modi described as the world’s largest…

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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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Demystifying the Maze: A Journey through the World of NLP and its Powerful Language Models

This article delves into the fascinating world of LLMs, highlighting some of the most innovative models that are pioneering NLP advancements. From trailblazers like BERT and RoBERTa to efficiency experts like DistilBERT and Longformer, we’ll explore their unique strengths and capabilities. We’ll also encounter pioneers in efficiency like ELECTRA and ProphetNet, and marvel at the sheer powerhouses like Megatron-LM…

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Neural Networks – Basics

Neural Networks

Neural networks have many applications in artificial intelligence, including image and speech recognition, natural language processing, recommendation systems, and autonomous vehicles. They are particularly useful for tasks that involve complex patterns, such as recognizing objects in images or understanding natural language.

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What is Keras and why is it called so.

Keras is not a complete neural network framework itself, but rather an API (Application Programming Interface) built on top of existing frameworks like TensorFlow. It provides a user-friendly layer on top of the complex computations involved in building and training neural networks.

Keras is a high-level neural network API written in Python that runs on top of TensorFlow, CNTK, or Theano. It allows users to quickly build and experiment with deep neural network models. Keras is known for its simplicity, flexibility, and ease of use, making it a popular choice among researchers and developers. The name “Keras” comes from the Greek…

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