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Artificial Intelligence

Topic lead Richard Jones

Subcategories

  1. Machine learning

    Machine learning is is the foundation of AI. Instead of programming a computer to follow fixed rules, we give it data and let it find patterns on its own (including supervised, unsupervised, deep and reinforcement learning)
  2. Large language models (LLMs) and generative AI

    LLMs are AI systems trained on vast amounts of textual data to learn patterns in language and to generate human-like responses to requests and responses.
  3. Agentic and autonomous AI

    Agentic AI can perceive its environment, make decisions and take action independently (within defined boundaries). It can combine tools to solve complex problems.
  4. AI infrastructure

    Behind every AI application is a technical foundation that makes it work, including data pipelines, systems and platforms that support AI.

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