§ AI Wiki / Glossary
One-line definitions, the AI dictionary.
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Search the Wiki →A machine learning paradigm in which an agent learns a policy by interacting with an environment and optimizing a reward signal.
Microsoft's family of small LLMs trained heavily on high-quality data.
An attack where an adversary tries to override an LLM's instructions via untrusted external text.
A feature that caches large recurring prompt prefixes for major cost and latency savings.
A technique that manages the KV cache like virtual memory pages, eliminating waste and fragmentation.
The process of splitting documents into meaningful, bounded-size pieces for RAG.
An open-source PostgreSQL extension that adds vector data types and similarity search.
A fully managed, scalable vector-database SaaS.
An agent's ability to design and order the steps it will take to reach a goal.
The input text given to an LLM that conditions the response.
The discipline of systematically designing prompts to get the intended output from an LLM.
XML-like tags used inside a prompt to delimit different sections.