Prithwis Kumar De

Large language models (LLMs) represent a profound breakthrough in artificial intelligence. More than just statistical tools, these vast neural networks undergo an intensive training process that unlocks unexpected, emergent abilities. Models like ChatGPT are now demonstrating a surprising grasp of reasoning, semantics, and real-world concepts, leading many researchers to ask: are we witnessing the first sparks of Artificial General Intelligence (AGI)? These models are doing more than just revolutionizing natural language processing; they are forcing us to reconsider the boundaries of machine intelligence. While their applications in chatbots, complex problem-solving, and content creation are already reshaping our digital world, their deeper implications point toward an entirely new era of AI. To understand these emergent capabilities and confront the AGI question, a deep dive into the core technology is essential. This co-authored book provides that crucial foundation. The authors explore the significance and capabilities of LLMs, alongside the immense ethical, social, and security challenges that arise as these models grow more powerful. For anyone seeking a comprehensive guide to navigate this new territory, The Power of Large Language Models and AI in the Digital Age: Technologies, applications, security and ethics is a valuable resource. It is essential reading for data scientists, researchers from academia and industry, lecturers, and advanced students in AI, computer science, and data science who will shape the future of intelligent systems.

Dieses Buch diskutiert die Verwendung von Technologie, Data Science und Open Data, um das Netto-Null-Emissionsziel des Pariser Abkommens zum Klimawandel zu erreichen. Es gibt viele Diskussionen über Nachhaltigkeit und Lösungen für den Klimawandel, um die negativen Auswirkungen zu mildern. Die Verwendung von Technologiehebeln zur Bewältigung von Klimaherausforderungen wird jedoch selten als der bedeutendste Katalysator betrachtet. Die verfügbare Forschung in diesem Bereich ist im Allgemeinen qualitativer Natur, bei der Technologie und Daten noch nicht genutzt wurden. Durch den Einsatz von KI/ML sagt das Buch die Klimawandelfolgen aufgrund von Investitionen in den fossilen Brennstoffsektor voraus, schätzt die CO2-Emissionen des Verkehrssektors, prognostiziert die durch nicht erneuerbare Energiequellen verursachte durchschnittliche Landtemperatur und segmentiert indische Bundesstaaten auf der Grundlage von Haushalts-CO2-Emissionen. Die Forscher, Entscheidungsträger, Studenten, Lehrer, Bildungseinrichtungen, Regierungen, Regulierungsbehörden, Unternehmen, internationale Organisationen usw. werden immens von diesem Buch profitieren. Darüber hinaus soll dieses Buch dazu dienen, den nächsten Generationen eine dekarbonisierte Umgebung und eine bessere Zukunft zu bieten.

This book discusses the use of technology, data science and open data to achieve the net-zero carbon emissions target set up by the Paris Agreement on climate change. There have been many discussions around sustainability and climate change solutions to mitigate the negative impact. However, using technology levers to tackle climate challenges is rarely seen as the most significant catalyst. The available research in this field is generally qualitative in nature, where technology and data have not yet been leveraged. By using AI/ML, the book predicts the climate change consequences arising due to investment in fossil fuel sectors, estimates CO2 emissions from the transport sector, forecasts average land temperature due to non-renewable sources of energy, and segments Indian states on the basis of household carbon emissions. The researchers, policymakers, students, teachers, educational institutions, governments, regulators, companies, international organizations, etc., will benefit immensely by referring to this book. Moreover, the endeavour of this book is to provide a decarbonized environment and a better tomorrow to the next generation.

This book discusses the use of technology, data science and open data to achieve the net-zero carbon emissions target set up by the Paris Agreement on climate change. There have been many discussions around sustainability and climate change solutions to mitigate the negative impact. However, using technology levers to tackle climate challenges is rarely seen as the most significant catalyst. The available research in this field is generally qualitative in nature, where technology and data have not yet been leveraged. By using AI/ML, the book predicts the climate change consequences arising due to investment in fossil fuel sectors, estimates CO2 emissions from the transport sector, forecasts average land temperature due to non-renewable sources of energy, and segments Indian states on the basis of household carbon emissions. The researchers, policymakers, students, teachers, educational institutions, governments, regulators, companies, international organizations, etc., will benefit immensely by referring to this book. Moreover, the endeavour of this book is to provide a decarbonized environment and a better tomorrow to the next generation.