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.
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.
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.
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