Image & Vision · GitHub ·4,902 ★

LLM-Engineers-Handbook

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

Details

Author
PacktPublishing
Category
Image & Vision
Platform
GitHub
Framework
custom
Language
python
Stars
4,902
First indexed
2026-05-15
Last active
2026-03-02
Directory sync
2026-05-15

Overview

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

Quick start

git

git clone https://github.com/PacktPublishing/LLM-Engineers-Handbook

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What LLM-Engineers-Handbook can do

  • Fine Tun — fine-tun task automation.
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Design — design task automation.

Frequently asked questions

What is LLM-Engineers-Handbook?
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
How do I install LLM-Engineers-Handbook?
Use git: `git clone https://github.com/PacktPublishing/LLM-Engineers-Handbook`. Full setup details on the source page linked above.
Is LLM-Engineers-Handbook open source?
LLM-Engineers-Handbook is published on GitHub.
What are alternatives to LLM-Engineers-Handbook?
Comparable agents include lobehub, stable-baselines3, ui. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for LLM-Engineers-Handbook is sourced from GitHub, published by PacktPublishing.

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