Artificial Intelligence

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Large language models can sometimes generate convincing but inaccurate information, known as hallucinations.

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Machine Learning systems improve as they process more data instead of relying only on fixed rules.

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NLP allows computers to understand, interpret, and generate human language.

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A calculator follows fixed instructions and does not learn or make intelligent decisions.

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Machine Learning allows systems to improve their performance automatically by learning from data.

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AI focuses on creating systems capable of performing tasks that usually require human intelligence.

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Which of the following is an example of Artificial Intelligence in daily life?

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AI systems can produce unfair results if they learn from incomplete or biased datasets.

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Deep Learning uses multi-layered neural networks to recognize complex patterns in images, speech, and text.

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Face Unlock uses Computer Vision to detect and recognize a person's face.

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Most AI systems today are Narrow AI, designed to perform specific tasks rather than think like humans.

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Artificial Intelligence enables machines to learn, reason, solve problems, recognize patterns, and make decisions similar to humans.

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AI systems often process large amounts of personal data, making privacy and responsible use important ethical issues.

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Artificial Neural Networks are designed to imitate how neurons in the human brain process information.

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AI helps identify abnormalities in X-rays, CT scans, and MRIs, supporting faster and more accurate diagnoses.

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Robotics uses AI to help machines sense their environment, make decisions, and perform physical actions autonomously.

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Generative AI creates new content such as text, images, music, and videos based on patterns learned from data.

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The term "Artificial Intelligence" was introduced during the Dartmouth Summer Research Project in 1956.

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Generative AI creates new content such as text, images, music, and videos based on patterns learned from data.

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John McCarthy coined the term "Artificial Intelligence" in 1956 and organized the Dartmouth Conference, which marked the birth of AI as a scientific field.

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AI analyzes your viewing history and preferences to recommend content you are likely to enjoy.

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Autonomous vehicles use cameras, sensors, maps, and AI to understand their surroundings and make driving decisions.

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Generative AI produces original content by learning patterns from large datasets.

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Computer Vision enables machines to analyze and interpret images and videos.

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AI is expected to automate many tasks and support human decision-making, but responsible development, human oversight, and ethical use remain essential.