How AI models count and limit text. Roughly 1 token = 0.75 words. Models have token limits (like 4,000 or 128,000 tokens) that determine how much text they can process at once.
The maximum amount of text an AI model can “remember” in one conversation. Once you exceed this limit, the model starts “forgetting” earlier parts of the conversation.
Converting text into numerical vectors that computers can understand and compare. Enables “smart search” that finds similar content based on meaning, not just keywords.
An AI system that can take actions and make decisions, not just generate text responses. Agents can use tools, call APIs, and interact with external systems.
Derived context of a specific peer, synthesizing insights from interactions across all sessions, including arbitrary data ingested by this specific peer. With arbitrary data, a global representation can be made independent of sessions.
The ability of a computer to understand, remember, and interact with its own mind, enabling it to form representations of the world and make decisions based on its own knowledge and behavior.
The mental processes by which we perceive, interpret, and respond to information about others and social situations. It includes the encoding, storage, retrieval, and application of social knowledge.
In CogSci, frameworks describing fixed structures & mechanisms underlying human cognition. Such frameworks aim to explain how various components of the mind—perception, memory, reasoning, learning, etc—combine to produce intelligent behavior across diverse environments. In AI, it’s a computational implementation of these theories—a designed framework to replicate human cognitive functions.
A theory in CogSci proposing the brain is an active prediction machine, continually generating & updating internal world models to anticipate sensory input, rather than passively receiving it—closely linked to Bayesian brain hypotheses, which hold that the brain interprets the world probabilistically, weighing prior knowledge against new evidence to minimize uncertainty.
