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Can Indic LLMS Outperform English Models in the Bihar Context?

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Introduction to Language Models Language models play a crucial role in natural language processing (NLP) by enabling machines to understand and generate human language in a coherent manner. They function by predicting the likelihood of a sequence of words based on a given context, allowing for tasks such as text generation, translation, and speech recognition. […]

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Preserving Maithili and Bhojpuri Languages through Artificial Intelligence

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Introduction to Maithili and Bhojpuri Languages Maithili and Bhojpuri are prominent languages spoken primarily in the eastern region of India and parts of Nepal. Both languages belong to the Indo-Aryan family and are deeply rooted in the cultural and historical fabric of their respective regions. Maithili is predominantly spoken in the Mithila region of Bihar

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Projected GDP Contribution of AI in Bihar by 2030

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Introduction to AI and Economic Growth Artificial Intelligence (AI) has emerged as a pivotal force in the transformation of modern economies. As a branch of computer science focusing on creating systems capable of performing tasks typically requiring human intelligence, AI encompasses a variety of technologies, including machine learning, natural language processing, and robotics. These innovations

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Can AI Accelerate India’s Net-Zero Goal by 2070?

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Introduction: Understanding India’s Net-Zero Commitment In 2021, India made a significant commitment to achieving net-zero emissions by the year 2070, a goal that underscores its dedication to combating climate change. This pledge was made during the 26th United Nations Climate Change Conference (COP26) and is seen as a critical step towards addressing the global climate

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How Close Are We to Fault-Tolerant Quantum Machine Learning?

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Understanding Quantum Machine Learning Quantum machine learning (QML) is an emerging interdisciplinary field that merges the principles of quantum computing with the functionalities of machine learning. At its core, QML utilizes the qubits, the fundamental units of quantum information, which can exist in multiple states simultaneously, thanks to the properties of superposition and entanglement. This

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Exploring Quantum Advantage in Generative Modeling

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Introduction to Generative Modeling Generative modeling is a powerful subfield of machine learning that focuses on understanding and generating new data samples based on a given dataset. Unlike discriminative models, which aim to predict labels for input data, generative models learn the underlying distribution of data, enabling them to generate new instances that mimic the

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Why Spiking Neural Networks Lag Behind Transformers

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Introduction to Neural Networks Neural networks have revolutionized the landscape of artificial intelligence, providing a framework for complex problem-solving that mimics the structure and function of the human brain. Their architecture is characterized by interconnected layers of nodes, or neurons, which process and transmit information. The fundamental building blocks of neural networks include the input

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Can Neuromorphic Chips Make Edge AI Truly Brain-Like?

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Introduction to Neuromorphic Computing Neuromorphic computing represents a groundbreaking approach to artificial intelligence, emulating the neural structure and functional dynamics of the human brain. Neuromorphic chips are specifically designed to replicate the way biological neurons process information, enabling more efficient and effective computations. Unlike traditional processors that rely on a sequential approach to data processing,

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Estimating the Energy Consumption of Frontier Training Runs by 2030

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Introduction to Frontier Training Runs Frontier training runs represent a pivotal advancement in the realms of artificial intelligence (AI) and machine learning (ML). As these technologies continue to evolve, frontier training runs stand at the forefront, enabling systems to learn from vast datasets and complex algorithms tailored to perform specialized tasks. These training runs are

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