LLM-Engineers-Handbook and llm-apps-workshop

The LLM Engineers Handbook, a comprehensive practical guide, and the LLM Apps Workshop, focused on building real-world applications, are complements, with the former providing foundational knowledge and best practices that can be applied to the hands-on app development described in the latter, especially given both project's emphasis on AWS deployment.

LLM-Engineers-Handbook
61
Established
llm-apps-workshop
46
Emerging
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 9/25
Maturity 16/25
Community 21/25
Stars: 4,823
Forks: 1,156
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 112
Forks: 36
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Commits (30d): 0
Language: HTML
License: MIT-0
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About LLM-Engineers-Handbook

PacktPublishing/LLM-Engineers-Handbook

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

This handbook helps AI engineers and machine learning practitioners build, train, and deploy custom Large Language Model (LLM) and Retrieval Augmented Generation (RAG) applications. It guides you through the entire lifecycle, from data collection and model training to robust AWS deployment and monitoring. You'll learn to take raw data and turn it into a production-ready LLM system that solves real-world problems.

LLM deployment RAG systems MLOps AI engineering Cloud machine learning

About llm-apps-workshop

aws-samples/llm-apps-workshop

Use LLMs for building real-world apps

This collection of examples helps developers and machine learning engineers build applications powered by large language models (LLMs). It provides code examples for tasks like text generation, creating text embeddings, and building question-answering systems, helping you integrate advanced AI capabilities into your own software projects.

AI-application-development machine-learning-engineering natural-language-processing cloud-development software-development

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