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This article from IBM explains artificial intelligence (AI) by presenting it as technology replicating human cognitive functions. It describes machine learning (ML) and deep learning as foundational components of AI, especially generative AI which creates original content. The text outlines how generative AI models are trained, tuned, and evaluated for diverse applications. It highlights AI's benefits like automation, better decision-making, and risk reduction while also addressing challenges like data security and ethical concerns. Finally, the resource explores AI's evolution, from its historical roots to modern applications, emphasizing the importance of ethical governance and responsible AI development.
This article from IBM explains artificial intelligence (AI) by presenting it as technology replicating human cognitive functions. It describes machine learning (ML) and deep learning as foundational components of AI, especially generative AI which creates original content. The text outlines how generative AI models are trained, tuned, and evaluated for diverse applications. It highlights AI's benefits like automation, better decision-making, and risk reduction while also addressing challenges like data security and ethical concerns. Finally, the resource explores AI's evolution, from its historical roots to modern applications, emphasizing the importance of ethical governance and responsible AI development.