AI or Artificial Intelligence is used to refer to systems and algorithms that can perform tasks that typically require human intelligence. AI is frequently associated with Machine Learning (ML), Large Language Models (LLMs), and Generative Pre-Trained Transformers (GPT).
To learn more about AI at Pratt, see Pratt's Statement on Artificial Intelligence from August 24, 2023.
is the capacity of machines to mimic human cognitive functions such as learning, problem-solving, and pattern recognition, enabling them to perform tasks that normally require human intelligence. It includes various subfields, such as machine learning and natural language processing. (UNF, 2023)
GENERATIVE PRE-TRAINED TRANSFORMER
is a type of large language model (LLM) neural network that can perform various natural language processing tasks such as answering questions, summarising text and even generating lines of code. (Al Jazeera, 2023)
LARGE LANGUAGE MODELS
are AI models that can understand, generate, and interpret human-like text based on the input it receives. (Allied Media, 2018)
is a subfield of AI where computer systems are given the ability to learn and improve from experience without being explicitly programmed. This is usually achieved by training the system with large amounts of data. (Allied Media, 2018)
are mathematical systems that act like a computerized brain, helping the technology find connections in data. They’re modeled after the human brain, with layers of artificial “neurons” that communicate information to one another. (Washington Post, 2023)
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