Fatih Arica

LLMs, Generative AI and Ethics is the third volume in the AI and Machine Learning: European Edition series. It is designed for readers who already understand machine learning and deep learning and now want to explore the technologies behind modern large language models, generative AI systems, AI APIs, prompt engineering, responsible AI, and real-world AI deployment. This volume explains the Transformer architecture, self-attention, pre-training, fine-tuning, hallucination, bias, evaluation, LoRA, Retrieval-Augmented Generation, AI API workflows, prompt engineering, the Hugging Face ecosystem, and production-ready AI projects.
Readers will learn how to work with GPT-style models, BERT-style classifiers, AI APIs, structured outputs, streaming responses, prompt templates, adversarial prompting, Hugging Face Transformers, Gradio, model evaluation, and real-world AI pipelines. The book also places strong emphasis on responsible AI, EU AI Act compliance, GDPR-aware design, explainability, privacy-preserving machine learning, audit logging, human oversight, and sector-specific AI applications in healthcare, finance, manufacturing, agriculture, energy, and public services.
This advanced volume is suitable for students, teachers, AI practitioners, technical authors, vocational education learners, and independent developers who want to move beyond basic AI concepts and build practical, ethical, and regulation-aware AI systems. This is Volume 3 of the series and completes the journey from AI foundations to applied generative AI and responsible deployment.