AI Engineering: Building Applications with Foundation Models guides engineers building AI-powered applications. Foundation model selection and evaluation Fine-tuning and adaptation techniques Production deployment and monitoring For software and ML engineers...

Artificial Intelligence: A Modern Approach by Russell and Norvig is the world's leading AI textbook. Search algorithms and problem solving Knowledge representation and reasoning Machine learning and neural networks Standard...

Build a Large Language Model walks you through building an LLM from the ground up for deep understanding. Transformer architecture from first principles Tokenization, attention, and training Pre-training and instruction...

AI Agents in Action teaches how to build autonomous AI agents using large language models. Agent architectures: ReAct and planning Tool integration and function calling Multi-agent coordination For ML engineers...

Building LLM Powered Applications is a hands-on guide to designing and deploying LLM-powered applications. LLM integration patterns and APIs Prompt engineering and chain design Retrieval-augmented generation (RAG) For software engineers...

ChatGPT in Scientific Research and Writing explores how researchers can leverage AI tools for productivity. AI-assisted literature review Academic writing and editing with AI Research design support For researchers and...

Prompt Engineering for Generative AI teaches how to design effective prompts for large language models. Prompt design patterns and best practices Chain-of-thought and few-shot prompting RAG, agents, and advanced strategies...

Grokking Artificial Intelligence Algorithms teaches core AI algorithms through visual explanations and practical examples. Search algorithms and optimization Machine learning and neural network basics Reinforcement learning fundamentals For beginners and...