Glossary term
Glossary term
Agentic Systems
A capability of certain models that enables them to adapt their behavior in response to arbitrary text input (prompts). In a typical prompt-based learning paradigm, a large language model responds to a prompt by generating text. For example, suppose a user enters the following prompt:
Summarize Newton's Third Law of Motion.
A model capable of prompt-based learning isn't specifically trained to answer the previous prompt. Rather, the model "knows" a lot of facts about physics, a lot about general language rules, and a lot about what constitutes generally useful answers. That knowledge is sufficient to provide a (hopefully) useful answer. Additional human feedback ("That answer was too complicated." or "What's a reaction?") enables some prompt-based learning systems to gradually improve the usefulness of their answers.
Created for this library
A SaaS team uses prompt-based learning to launch a new ticket classifier in one afternoon by writing a labeled-example prompt rather than training a model.
A research team uses prompt-based learning to test new classification ideas without committing to a fine-tuning run.
A consulting firm uses prompt-based learning during client workshops to demonstrate quick classifiers on their data.
Definition source: Google for Developers Machine Learning Glossary | Creative Commons Attribution 4.0 License