AI, machine learning, and language models
Learning goal
Distinguish a broad field from one kind of model.
Artificial intelligence is a field of building systems for tasks such as prediction, recognition, planning, and generation. Some systems use rules written by people. Machine learning instead fits patterns from data; deep learning uses neural networks with many layers.
A closer look
A large language model (LLM) is one kind of AI. Many text-generating LLMs predict the next token from the available context. Image generators, classifiers, and rule-based systems can work differently. Fluent language is not evidence that a system is alive or that its output is true.
Explain it yourself
Does every AI system generate the next word? Give a counterexample.
Compare with an explanation
No. A flower classifier predicts a class label; a rule-based program can follow fixed conditions.
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