Tag: AI Applications
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Large Language Model (LLM)
Large Language Models (LLMs) are advanced artificial intelligence systems designed to understand and generate human-like language. They belong to a class of foundation models – AI models trained on immense amounts of text data that give them broad capabilities across many tasks. Instead of being narrowly programmed for one purpose, an LLM learns from billions…
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Deep Learning
Definition and Overview Deep Learning is a subfield of artificial intelligence and machine learning that focuses on using artificial neural networks with multiple layers (hence “deep”) to learn from large amounts of data. In simpler terms, it involves stacking many computational units (neurons) in layers so that a computer can automatically learn complex patterns and…
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AI and Robotics: Transforming Industries in 2025
Artificial Intelligence (AI) and robotics are no longer futuristic concepts – they are present realities revolutionizing industries across the globe. From operating rooms and factory floors to farm fields and city streets, intelligent algorithms and autonomous machines are boosting efficiency, enhancing decision-making, and unlocking new possibilities at an unprecedented scale. In 2025, AI-driven insights and…
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Inference (in AI)
Inference in artificial intelligence (AI) refers to the process by which an AI system draws conclusions or makes decisions based on available information, knowledge, or patterns, especially when facing data it has not seen before. In essence, it is the step where an AI applies what it has learned to new inputs, analogous to a…
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Predictive Modeling
Definition and Overview Predictive modeling in the context of artificial intelligence (AI) is the process of using historical data and statistical algorithms (often powered by machine learning) to build models that can forecast future outcomes or unknown events. In simpler terms, a predictive model learns patterns from past data and predicts likely future behavior or…
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Artificial Neural Network (ANN)
A neural network (often called an artificial neural network or ANN) is a computing model inspired by the human brain’s network of neurons. It consists of layers of interconnected nodes (“artificial neurons”) that process data and can learn to perform tasks by adjusting the connections (weights) between nodes. Neural networks “learn” from examples rather than…