10 terms that everyone needs to know in the age of Al

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Artificial intelligence (AI): A super-smart computer system that can imitate human tasks like understanding language, decision- making, translation, sentiment analysis, and learning from experience. Al processes large datasets through algorithms to create models that automate tasks requiring human intelligence.

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Machine Learning (ML): An Al technique where computer systems learn to identify patterns and make predictions by running data through algorithms repeatedly, enabling complex problem-solving.

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Large Language Models (LLMs): Large language models use machine learning and neural networks to mimic human communication. Trained on vast text data, they can translate, answer questions, summarise, and generate content.

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Generative Al (Gen Al): Generative Al uses large language models to create new content, not just provide information. It learns patterns to generate novel pictures, music, text, videos, and code.

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Hallucinations: Generative Al can create content, but may produce inaccurate “hallucinations” due to lack of grounding in real information. Developers address this by providing additional trusted data.

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Responsible Al: Responsible Al ensures safety and fairness at all levels – model, software, interface, access. Key is understanding training data to mitigate biases and better represent society.

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Multimodal models: Multimodal models can work with diverse data like images, sounds, and text, combining this information to perform complex tasks like answering questions about images.

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Prompts: Prompts are instructions that tell Al models what task to perform. Carefully designing prompts is crucial, like specifying details when ordering, to achieve the desired outcome.

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Copilots: A Copilot is a digital assistant powered by large language models to help with tasks like writing, coding, and analysis, while maintaining safety and user control.

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Plugins: Al plugins act like apps, enabling ,specific functionalities without altering the core model. They integrate Al deeper into the digital ecosystem, enhancing its capabilities.

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