# LLMs

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## Description

The LLMs panel lets you choose which large‑language model powers each mentor. mentorAI is model‑agnostic, so every tutor can run on the LLM that best fits its purpose—OpenAI GPT‑4 for nuanced writing help, Gemini for advanced reasoning, or even a custom model you integrate yourself.

![](/assets/llms.01b2727488152f6b35e7e9ced2aed237b2f7155eefc49b4378b912f91ce2de47.9c1bb791.png)

## Target Audience

**Instructor**

## Features

#### Per‑Mentor Flexibility

Assign different LLMs to different mentors, tailoring performance, cost, and capabilities to each use case.

#### Two Quick Access Paths

Open the provider list either by clicking the **model name** on the mentor card or by selecting the **LLM tab** from the mentor dropdown.

#### One‑Click Switching

Pick a provider, choose a model, and see an immediate **Success** confirmation.

#### Provider‑Agnostic Platform

Supports **OpenAI, Google**, and other vendors—plus your own **custom integrations**.

#### Extensible Model Library

Add **new or proprietary LLMs** at any time; they appear alongside built‑in options for seamless selection.

## How to Use (step by step)

#### Open LLM Settings (Method 1)

- On the **mentor card**, click the text showing the current LLM name
- The provider list opens


#### Open LLM Settings (Method 2)

- Click the **mentor’s name** to open its dropdown
- Select the **LLM tab**—arrives at the same provider list


#### Pick a Provider & Model

- Click a provider (e.g., **OpenAI** or **Google**)
- Select the desired model from the list
- A **Success** message confirms the switch


#### Repeat as Needed

- You can **switch providers or models anytime**
- Each change shows a **success confirmation**


#### Add a Custom LLM (Optional)

- If your preferred model isn’t listed, integrate it via the platform’s **custom LLM interface**
- Once added, it appears with the built‑in providers and can be selected the same way


## Pedagogical Use Cases

#### Domain‑Specific Tutors

Connect a **healthcare mentor** to a medically fine‑tuned model while keeping a **literature mentor** on a more creative LLM.

#### Cost Management

Run high‑traffic, low‑stakes mentors on a **budget‑friendly model** and reserve premium models for **advanced courses**.

#### Experimental Research

Quickly swap models to **compare answer quality, reasoning depth, or speed**—useful for instructional design studies.

#### Language‑Focused Mentors

Choose a **multilingual model** for language courses, ensuring better translation and pronunciation guidance.

#### Compliance & Privacy

Integrate an **on‑premise or proprietary LLM** for sensitive data scenarios, keeping information within institutional boundaries.

With simple, **per‑mentor switching** and support for **custom models**, the **LLMs feature** ensures each tutor runs on the engine that best meets its educational goals.