---
title: "CLOVA Studio Glossary"
slug: "clovastudio-glossary"
updated: 2026-09-17T09:33:52Z
published: 2026-09-17T09:33:52Z
canonical: "guide.ncloud-docs.com/clovastudio-glossary"
stale: true
---

> ## Documentation Index
> Fetch the complete documentation index at: https://guide.ncloud-docs.com/llms.txt
> Use this file to discover all available pages before exploring further.

# CLOVA Studio Glossary

Available in Classic and VPC

Familiarize yourself with these key terms to get the most out of CLOVA Studio.

### Completion

The model's expected output (string) in response to a user query within a conversation.

### Datasets

Training and validation data used for tuning.

### Domain

A category used by the router to classify user requests.

### Router

A component that classifies and filters user requests.

### LangChain

An open-source framework that helps you build applications easily by connecting language models and tools.

### Model

A language model or vision-language model used to generate completions.

### Service app

Required to apply CLOVA Studio APIs to real services. Each service app has its own usage limit.

### Safety filter

A filter that detects unethical or sensitive content within a specific domain in the router.

### Skill

A tool that selects the API for answering user input, generates required parameters, calls the API, and returns a natural-language response based on observations.

### Skillset

A group of skills. Skills in the same group belong to the same skillset.

### System prompt

Initial instructions that define the role or behavior of the model.

### Thinking

A feature that allows the model to analyze queries and generate intermediate reasoning tokens before producing the final answer.

### Vision-language model

A model that can understand both natural language and images.

### Usage control policy

A policy that limits API request counts and tokens to maintain service availability and stability.

### Explorer

A workspace where you can use various APIs needed for AI-powered services, such as chunking, sliding windows, embeddings, and summarization.

### Embedding

An API that converts text into numerical vectors for RAG implementations and document indexing.

### Content filter

A filter that detects topics that must be exceptionally blocked within a specific domain in the router.

### Query

A question or request entered by the user.

### Token

A subword unit used for natural language processing.

### Tuning

A method for creating a customized model by training on user datasets.

### Parameter

A configuration value that affects model output.

### Playground

A workspace where you can test and experiment with prompts.

### Task(s)

The base unit for tuning.

### Probabilistic language model

A model that predicts the next word based on probability. CLOVA Studio uses HyperCLOVA X models.

### API key

An authentication key used to verify access when calling CLOVA Studio APIs.

### Chat Completions

An API that provides conversational outputs using HyperCLOVA X models.

### Context length

The maximum number of input and output tokens the model can process in a single request.

### Function calling

A feature that allows the model to call external functions or APIs to retrieve information or perform operations.

### RAG (Retrieval Augmented Generation)

A method that reduces hallucinations by retrieving information from a reliable external knowledge base before generating a response.

### Instruction dataset

A conversational dataset format used to tune HyperCLOVA X models.

### Max tokens

A parameter that sets the maximum number of output tokens for the model.

### QPM (Queries per Minute)

The number of queries allowed per minute. Exceeding this limit results in rate limiting.

### Structured Outputs

A feature that generates structured data based on a user-defined JSON Schema.

### Temperature

A value that adjusts the diversity of generated text by changing the weighting of the probability distribution.

### Top K

A criterion for selecting the next token from the K most probable candidates.

### Top P

A criterion that selects tokens within a specified cumulative probability threshold and removes tokens outside that range.

### TPM (Tokens per Minute)

The number of tokens allowed per minute. Exceeding this limit results in rate limiting.

              Note

              

For additional terms, see the [Glossary](https://www.ncloud.com/guideCenter/glossary) on the NAVER Cloud Platform portal.