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• AI Engineering: Building Applications with Foundation Models by Chip Huyen
• Hands-On Large Language Models: Language Understanding and Generation by Jay Alammar
• Only Forever by Linda Lael Miller
• Building LLMs with PyTorch: A step-by-step guide to building advanced AI models with PyTorch (English Edition) by Anand Trivedi
• Dialogare con i Large Language Models: Guida alla scrittura del prompt (Italian Edition) by Paolo De Gasperis
• Future of Learning with Large Language Models: Applications and Research in Education by Myint Swe Khine
• Building AI Agents with LLMs, RAG, and Knowledge Graphs: A practical guide to autonomous and modern AI agents by Salvatore Raieli
• Mastering Deepseek in Python: A Complete Guide to Building, Training, Deploying, and Scaling Advanced NLP Applications with Deepseek Models in Python by Dargslan
• LLMs in Production: From language models to successful products by brousseauchristopher
• LLM Design Patterns: A Practical Guide to Building Robust and Efficient AI Systems by Ken Huang
• Data Analysis with LLMs: Text, tables, images and sound (In Action) by Immanuel Trummer
• A Inteligência Artificial Generativa (Portuguese Edition) by Arlindo Oliveira
• Building LLM Powered Applications: Create intelligent apps and agents with large language models by Valentina Alto
• LLM Engineer's Handbook: Master the art of engineering large language models from concept to production by Paul Iusztin
• Coding with ChatGPT and Other LLMs : Navigate LLMs for effective coding, debugging, and AI-driven development by Vincent Austin Hall
• Build a Large Language Model (From Scratch) by Sebastian Raschka
• AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference by Arvind Narayanan
• Co-Intelligence: Living and Working with AI by Ethan Mollick
• Nexus: A Brief History of Information Networks from the Stone Age to AI by Yuval Noah Harari
• Understanding Large Language Models: Learning Their Underlying Concepts and Technologies by Thimira Amaratunga

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