personal knowledge base
A personal knowledge base is an organized collection of notes, sources, links, and ideas maintained for one person's long-term retrieval and use.
AI Terminology
Search clear AI terminology definitions, acronyms, related concepts and the reviewed videos that explain them.
Showing 821–840 of 1095 terms
Clear filterspersonalized AI model routing
Personalized AI model routing adapts model selection to an individual user's preferences, history or requirements.
personalized email drafting
Personalized email drafting uses prior communication and current conversation context to propose replies that reflect a user's usual tone and relevant details.
personalized mRNA vaccine
A personalized mRNA vaccine is tailored to an individual patient and uses messenger RNA instructions to prompt an immune response against selected targets.
personally identifiable information
PIIPersonally identifiable information is data that directly identifies a person or can reasonably be combined with other data to identify them.
physical automation
Physical automation uses machines and control systems to perform actions in the physical world with reduced direct human operation.
physics simulation
Physics simulation uses mathematical models to approximate how objects, forces, motion, and collisions behave over time.
platform dependency risk
AI platform dependency risk is the operational or commercial exposure created when a workflow relies heavily on one model vendor or serving platform.
policy analysis
AI policy analysis uses AI to examine proposed or existing public policies, evidence and likely effects while leaving accountable decisions to people and institutions.
policy engine
An AI policy engine evaluates AI activity against rules and authorizes defined controls or interventions.
post-hoc AI citation generation
Post-hoc AI citation generation drafts a conclusion first and searches afterward for pages that appear to support it.
post-training
Post-training adapts a pretrained AI model to improve its behavior, capabilities, or alignment after the main training stage.
power delivery
Power delivery is the electrical infrastructure that supplies stable, usable energy to AI computing hardware and its supporting systems.
preference modeling
Preference modeling represents choices or priorities in a form an AI system can compare, predict, or use during evaluation.
preference optimization
Preference optimization adjusts a model using comparisons or ranked feedback so it produces outputs people or evaluators prefer more often.
prefill-decode disaggregation
Prefill-decode disaggregation runs prompt processing and token generation on separate worker pools so each stage can be scaled and optimized independently.
primary source verification
Primary source verification checks an original document, dataset, statement, or observation to confirm that it supports the claim attributed to it.
principle of least privilege
The principle of least privilege gives a user, process or agent only the access needed for its current authorized task.
prior probability
A prior probability represents what is believed about an uncertain quantity or event before the current evidence is incorporated.
privacy-preserving AI inference
Privacy-preserving AI inference protects prompts, model inputs, outputs, and associated metadata from parties that are not authorized to inspect them.