LLM Engineer’s Handbook: Master the art of engineering large language models from concept to production

Master Large Language Models with the LLM Engineer’s Handbook by Maxime Labonne and Paul Iusztin. This guide covers the entire LLM lifecycle, from concept to deployment. Learn prompt engineering, model training, fine-tuning, and evaluation to build efficient, scalable LLM applications. Explore techniques for improved performance, responsible AI development, data preparation, and deployment strategies. Ideal for engineers, data scientists, and AI enthusiasts. Implement real-world examples and best practices to fine-tune models, optimize performance, and understand ethical considerations. Lead the way in LLM engineering with this practical handbook.