Generative AI is the broad term used to describe AI that can create images, text, video and other media.
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A vector refers to a one-dimensional array of numbers that is used to represent input or output data.
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Pre-training is a technique used to train a AI model on a large dataset before fine-tuning it for a specific task.
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GPT-4 is a computer program that can understand and generate text. It can handle long texts and has improved accuracy compared to its predecessor. It can be used for creating long-form content, having extended conversations, and analyzing documents and images.
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Red teaming is a process of testing or evaluating the security of an organization or system by simulating an malicious activity from an adversary. In the context of AI, it refers to crafting prompts to make the AI perform task that it should not be able to do.
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Artificial Intelligence (AI): Refers to the development of computer systems that can perform tasks that would typically require human intelligence.
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A branch of AI that enables systems to learn from data without being explicitly programmed. Instead, algorithms can analyze and learn from patterns in data.
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The ability of machines to interpret, understand, and generate human language. It does this by breaking down sentences and paragraphs into small chunks called tokens which it can then statistically analyse.
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A type of machine learning where an algorithm learns from trial and error by receiving feedback in the form of rewards or punishments.
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Deep Learning (DL) is a subset of Machine Learning (ML) that uses Neural Networks to enable learning from unstructured data. Deep Learning is particularly useful for image and speech recognition.
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Neural networks are a key component of modern AI programs. They are mathematical models that attempt to mimic how the brain works.
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