This book tackles the deceptively simple question: how do we make AI systems do what we actually want? Christian unpacks research stories about fairness, bias, and alignment, making technical ideas accessible without watering them down..
Large language models (LLMs) are the core of modern AI applications, from chatbots to copilots. Add a short description. You’ll learn how to implement retrieval-augmented generation (RAG), chain-of-thought reasoning, embeddings, prompt evaluation, and AI agents.
While AI Engineering is more comprehensive, this earlier work is excellent for developers who want to understand the “software engineering” mindset applied to AI: modularity, data dependencies, and system robustness..
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