71 lines
3.0 KiB
Plaintext
71 lines
3.0 KiB
Plaintext
---
|
||
title: "Terminology"
|
||
description: "Glossary of AI and Honcho Specific Terms"
|
||
icon: "book"
|
||
---
|
||
|
||
## AI Development Basics
|
||
|
||
Essential terms for developers new to building AI applications.
|
||
|
||
**LLM (Large Language Model)** The AI model that generates text responses,
|
||
like GPT-4, Claude, or Llama. Think of it as the "brain" that powers your
|
||
chatbot or AI assistant.
|
||
|
||
**Prompt** The text you send to an AI model to get a response. This includes
|
||
user messages, system instructions, and any context you provide.
|
||
|
||
**Token** 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.
|
||
|
||
**Context Window** 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.
|
||
|
||
**Embedding** Converting text into numerical vectors that computers can
|
||
understand and compare. Enables "smart search" that finds similar content based
|
||
on meaning, not just keywords.
|
||
|
||
**Semantic Search** Search based on meaning rather than exact keyword
|
||
matching, often using embeddings.
|
||
|
||
**Agent** 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.
|
||
|
||
## Honcho Terms
|
||
|
||
**Global Representation** 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.
|
||
|
||
**Local Representation** One peer's persistent context of another based on
|
||
observed interactions/messages.
|
||
|
||
## Cognitive Science Terms
|
||
|
||
Cognitive science terms that are used throughout the inspiration and
|
||
implementation of Honcho
|
||
|
||
**Theory of Mind** 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.
|
||
|
||
**Social Cognition** 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.
|
||
|
||
**Cognitive Architecture** 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.
|
||
|
||
**Predictive Coding** 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.
|