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LLM-Engineers-Handbook
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
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This is the companion repository for Packt Publishing's 'LLM Engineers Handbook', a practical guide covering LLM fundamentals through deploying advanced LLM and RAG applications to AWS with LLMOps practices. It is a Python project managed with Poetry and Docker, structured around RAG, fine-tuning, evaluation, and ML system design topics.
Use it to follow a hands-on, end-to-end reference implementation of building and deploying LLM/RAG systems on AWS.
Use it to
- Study LLMOps best practices for AWS deployment
- Learn RAG application architecture
- Explore LLM fine-tuning workflows
- Review LLM evaluation techniques
- Reference ML system design patterns
For Engineers learning to build and deploy LLM applications
- Role
- rag
- Language
- Python
- Licence
- MIT
- Forks
- 1,292
- Open issues
- 24
- Last push
- 2026-04-22
topicsllmragllmopsawsfine-tuningevaluation