Tabla de Contenidos: “…Chapter 6: Understanding Domain Adaptation for Large Language Models -- Demystifying domain adaptation - understanding its history and importance -- Practice project: Transfer learning for the finance domain -- Training methodologies for financial domain adaptation -- Evaluation and outcome analysis - the ROUGE metric -- Summary -- References -- Chapter 7: Mastering the Fundamentals of Prompt Engineering -- The shift to prompt-based approaches -- Basic prompting - guiding principles, types, and structures -- Guiding principles for model interaction -- Prompt elements and structure -- Elevating prompts - iteration and influencing model behaviors -- LLMs respond to emotional cues -- Effect of personas -- Situational prompting or role-play -- Advanced prompting in action - few-shot learning and prompt chaining -- Practice project: Implementing RAG with LlamaIndex using Python -- Summary -- References -- Chapter 8: Addressing Ethical Considerations and Charting a Path Toward Trustworthy Generative AI -- Ethical norms and values in the context of generative AI -- Investigating and minimizing bias in generative LLMs and generative image models -- Constrained generation and eliciting trustworthy outcomes -- Constrained generation with fine-tuning -- Constrained generation through prompt engineering -- Understanding jailbreaking and harmful behaviors -- Practice project: Minimizing harmful behaviors with filtering -- Summary -- References -- Index -- About Packt -- Other Books You May Enjoy…”