{"repo":"PacktPublishing/LLM-Engineers-Handbook","free":true,"listed":false,"github":"https://github.com/PacktPublishing/LLM-Engineers-Handbook","clone":"git clone https://github.com/PacktPublishing/LLM-Engineers-Handbook.git","description":"The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices","language":"Python","stars":5287,"topics":["genai","llm","llmops","mlops","rag","aws","fine-tuning-llm","llm-evaluation","ml-system-design"],"license":"MIT","category":"ai-agents","readme_excerpt":"👷 LLM Engineer's Handbook Official repository of the LLM Engineer's Handbook by Paul Iusztin and Maxime Labonne Find the book on Amazon or Packt 🌟 Features The goal of this book is to create your own end-to-end LLM-based system using best practices: - 📝 Data collection & generation - 🔄 LLM training pipeline - 📊 Simple RAG system - 🚀 Production-ready AWS deployment - 🔍 Comprehensive monitoring - 🧪 Testing and evaluation framework You can download and use the final trained model on Hugging Face. [!IMPORTANT] The code in this GitHub repository is actively maintained and may contain updates not reflected in the book. Always refer to this repository for the latest version of the code. 🔗 Dependencies Local dependencies To install and run the project locally, you need the following dependencies. Tool Version Purpose Installation Link ------ --------- --------- ------------------ pyenv ≥2.3.36 Multiple Python versions (optional) Install Guide Python 3.11 Runtime environment Download Poetry = 1.8.3 and [!NOTE] If you are experiencing issues while installing and running the repository, consider checking the Issues GitHub section for other people who solved similar problems or directly asking us for help. 1. Clone the Repository Start by cloning the repository and navigating to the project directory: Next, we have to prepare your Python environment and its adjacent dependencies. 2. Set Up Python Environment The project requires Python 3.11. You can either use your global Python","default_branch":null,"files":null,"tree":[],"storefront":"/r/PacktPublishing","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/PacktPublishing/LLM-Engineers-Handbook/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}