AI Technology
AI technology refers to the methods, systems, and software that allow computers to perform tasks requiring human-like intelligence, such as learning, reasoning, perception, and decision-making. AI is the capability of computational systems to carry out tasks associated with intelligent beings; everything from problem-solving to interpreting sensory data. In practice, AI technology includes the algorithms, models, and architectures that enable machines to analyze information and act on it.
AI technology powers many of the tools people use every day, including recommendation systems, chatbots, translation tools, and search engines. These systems rely heavily on machine learning, the most common form of AI today, where models learn patterns from data rather than being explicitly programmed. This allows AI to improve over time as it processes more information.
AI technology includes a wide range of approaches - symbolic reasoning, neural networks, deep learning, and generative models - that allow machines to simulate aspects of human cognition. These technologies enable applications such as image recognition, speech processing, robotics, and autonomous vehicles.
AI technology includes systems that can see, understand language, learn from experience, make recommendations, and act autonomously. This includes everything from self-driving cars to medical diagnostic tools. AI technology is not a single invention but a collection of techniques that together allow machines to operate with increasing independence and sophistication.
AI technology is used across many industries - healthcare, finance, e-commerce, manufacturing, transportation - where it helps systems recognize patterns, make decisions, and solve complex problems. In fact, most industries today employ AI technology in one form or another.
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Acronyms shorthand for fundamental concepts in the field of artificial intelligence |
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Computer Using Agent an advanced AI system designed to interact with browsers like we do |
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Computer Vision enables computers to interpret and understand visual information from the world around them |
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Generative Pre-trained Transformers neural network models that use deep learning and large training datasets to perform tasks |
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Large Language Models algorithms designed to understand, generate, and manipulate human language |
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Neural Networks a computer system modeled on the human brain and nervous system |
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Predictive AI uses statistical analysis and machine learning to identify patterns and forecast events |
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Prompt Engineering practice of designing specific instructions to elicit desired responses from generative AI models |
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Specialized AI Agents are designed to perform specific AI tasks or functions within particular domains |
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Tokenization a process that breaks down text into smaller units called tokens |
Links
csuglobal.edu/blog/how-does-ai-actually-work
coursera.org/articles/how-does-ai-work
ibm.com/topics/artificial-intelligence
builtin.com/artificial-intelligence
iso.org/artificial-intelligence
pg-p.ctme.caltech.edu/blog/ai-ml/how-does-ai-work-a-beginners-guide
simplilearn.com/tutorials/artificial-intelligence-tutorial/what-is-artificial-intelligence