This repository contains course materials for Nebius Academy's LLM Engineering Essentials, a 12-week program designed for developers and engineers. It offers hands-on experience with LLM APIs and self-hosted models, culminating in building a custom AI NPC platform, with expert-led Q&A sessions and community support.

How It Works

The course is structured into six topics, covering LLM API basics, workflows, Retrieval-Augmented Generation (RAG), self-hosted LLMs, optimization, and fine-tuning. Each topic includes theoretical material and a practical project, such as deploying a chatbot, implementing RAG, or optimizing LLM inference. The capstone project involves building an NPC Factory platform to create interactive NPCs for games.

Quick Start & Requirements

• Course materials are located in ./topic* folders.
• Further details and instructions are in the main README.md.
• For technical issues, ideas, or bugs, users are directed to create an issue.
• Community discussions and announcements are on Discord.

Highlighted Details

• Focuses on practical application through a 12-week project building an AI NPC platform.
• Covers advanced topics like RAG, AI agents, LLM inference optimization, and fine-tuning (LoRA, RLHF, DPO).
• Includes guidance from AI practitioners and weekly expert-led Q&A sessions.
• Emphasizes deploying models on real servers and integrating them into game environments.

Maintenance & Community

• Led by AI expert Stanislav Fedotov, with contributions from a team of AI practitioners.
• Community engagement and announcements are facilitated via Discord.
• Updates are also available through a newsletter subscription.

Licensing & Compatibility

• The repository does not explicitly state a license.

Limitations & Caveats

• The repository's license is not specified, which may impact commercial use or derivative works.
• Specific hardware or software requirements for running the projects are not detailed in the README.