Spark Forge Dynamics

    Technology Glossary

    Plain-English explanations of key technology concepts — from AI and machine learning to web development and cloud computing. Written for Indian businesses and developers.

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    Artificial Intelligence

    Artificial Intelligence (AI)

    Artificial Intelligence refers to computer systems designed to perform tasks that typically require human intelligence —…

    Machine Learning (ML)

    Machine Learning is a subset of AI where algorithms learn patterns from data without being explicitly programmed. Instea…

    Deep Learning

    Deep Learning is a specialised subset of machine learning that uses artificial neural networks with multiple layers (hen…

    Natural Language Processing (NLP)

    Natural Language Processing enables computers to understand, interpret, and generate human language. NLP powers chatbots…

    Computer Vision

    Computer Vision enables machines to interpret and understand visual information from the world — images, videos, and rea…

    Large Language Models (LLMs)

    Large Language Models are AI systems trained on massive text datasets that can understand and generate human-like text. …

    Generative AI

    Generative AI refers to AI systems that can create new content — text, images, code, music, and video. Unlike analytical…

    AI Chatbots

    AI chatbots are software programs that use natural language processing and machine learning to simulate human conversati…

    Transformer Architecture

    The Transformer is a neural network architecture introduced in the 2017 paper "Attention Is All You Need" that revolutio…

    Neural Networks

    Neural networks are computing systems inspired by the biological neural networks in the human brain. They consist of lay…

    Convolutional Neural Networks (CNNs)

    CNNs are specialised neural networks designed to process grid-like data, particularly images. They use convolutional lay…

    Supervised Learning

    Supervised learning is a type of machine learning where the algorithm learns from labelled training data — input-output …

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