LLM Engineer's Handbook

Master the art of engineering large language models from concept to production

Created by Paul Iusztin and Maxime Labonne

VideoAssessmentText
Published: October 22nd, 2024
ISBN-13: 9781836200079

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  • Build and refine LLMs step by step, covering data preparation, RAG, and fine-tuning
  • Learn essential skills for deploying and monitoring LLMs, ensuring optimal performance in production
  • Utilize preference alignment, evaluation, and inference optimization to enhance performance and adaptability of your LLM applications
  • Implement robust data pipelines and manage LLM training cycles
  • Create your own LLM and refine it with the help of hands-on examples
  • Get started with LLMOps by diving into core MLOps principles such as orchestrators and prompt monitoring
  • Perform supervised fine-tuning and LLM evaluation
  • Deploy end-to-end LLM solutions using AWS and other tools
  • Design scalable and modularLLM systems
  • Learn about RAG applications by building a feature and inference pipeline