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This article from Dataflix outlines the evolution of Artificial Intelligence, from ancient concepts to modern applications. It highlights key moments like the Dartmouth Conference and the rise of machine learning and deep learning, emphasizing the role of cloud computing in accelerating AI's growth. The article differentiates between AI, machine learning, deep learning, foundational models, and Large Language Models, explaining how these concepts intertwine. Looking ahead, the piece touches on the ethical considerations and the need for AI governance, advocating for collaboration to ensure responsible development and deployment. The author concludes that while AI has come a long way, its journey is ongoing, presenting opportunities to reshape society in beneficial ways.
By DataflixThis article from Dataflix outlines the evolution of Artificial Intelligence, from ancient concepts to modern applications. It highlights key moments like the Dartmouth Conference and the rise of machine learning and deep learning, emphasizing the role of cloud computing in accelerating AI's growth. The article differentiates between AI, machine learning, deep learning, foundational models, and Large Language Models, explaining how these concepts intertwine. Looking ahead, the piece touches on the ethical considerations and the need for AI governance, advocating for collaboration to ensure responsible development and deployment. The author concludes that while AI has come a long way, its journey is ongoing, presenting opportunities to reshape society in beneficial ways.