---
title: "Inference"
description: "Inference refers to the process of using a trained model to make predictions or decisions. It involves
inputting new, unseen data into a Language Model and receiving an output that represents the model's best guess or
prediction. This process is crucial in many AI applications, such as image recognition, natural language
processing, and recommendation systems, where the model's ability to infer or predict outcomes based on
learned patterns is utilized."
canonical_url: "https://promptmetheus.com/resources/llm-knowledge-base/inference"
---

> Index of every page on this site: [llms.txt](https://promptmetheus.com/llms.txt)

Inference refers to the process of using a trained model to make predictions or decisions. It involves
inputting new, unseen data into a [Language Model](https://promptmetheus.com/resources/llm-knowledge-base/large-language-model-llm) and receiving an output that represents the model's best guess or
prediction. This process is crucial in many AI applications, such as image recognition, natural language
processing, and recommendation systems, where the model's ability to infer or predict outcomes based on
learned patterns is utilized.

For text generation, inference can proceed token by token or use another decoding strategy. A [diffusion language model](https://promptmetheus.com/resources/llm-knowledge-base/diffusion-language-model) iteratively refines a partly specified text sequence instead of committing to every next token strictly from left to right.

## Sitemap

See the full [sitemap](https://promptmetheus.com/sitemap.md) for all pages.