User Manual

Welcome to the Mlangles | LLMOps User Manual. This guide will help you understand and use all features of the platform.

Purpose of the User Guide

The purpose of this User Guide is to serve as a comprehensive reference for all users of LLMOps, a next-generation enterprise platform for managing the complete lifecycle of Large Language Models (LLMs). It aims to:
- Provide step-by-step guidance on using each module of LLMOps.
- Explain the configuration, customization, and deployment processes.
- Help troubleshoot common issues.
- Serve as an ongoing reference for both day-to-day usage and advanced configurations.

This document covers the following LLMOps modules and their functionalities:
- Model Fine Tuning – For adapting open-source LLMs to specific datasets and business use cases.
- Model Compression – For reducing model size while maintaining performance, enabling faster deployment and reducing infrastructure costs.
- App Design – A low-code/no-code environment for creating LLM-powered and agentic workflows.
- Monitoring – For tracking requests, responses, token usage, and compliance metrics.
- App Store – For accessing pre-built AI solutions tailored to enterprise needs.
In addition, it provides detailed coverage of:
- Access control and role-based permissions.
- Frequently used enterprise applications available via the App Store (e.g., Data Vizard, Smart Chat, Nexen HR, Optilogistics, etc.).
- Navigation, interface elements, and key system conventions.
- Troubleshooting and support contact methods.

Icons and Formatting Used in This Guide
Note: Provides helpful tips, background information, or clarifications.
⚠ Warning: Highlights potential risks or critical steps where caution is required.
📌 Reminder: Draws attention to important steps or configuration settings.
Bold Text: Used for UI labels, button names, or key terms.
Italic Text: Used for emphasis or variable terms.