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Generative AI in Higher Education Ethical Governance, Skills, and Employability Volume 2


Generative AI in Higher Education: Ethical Governance, Skills, and Employability: Volume 2
English | 2026 | ISBN: 1032817985 | 617 pages | True EPUB | 9.67 MB
Building upon the foundational principles established in the first volume, this second volume of Generative AI in Higher Education advances the debate on AI beyond theoretical frameworks towards concrete institutional practice. Where the first volume developed guiding principles for higher education institutions to use GenAI effectively and ethically in teaching and learning, this volume introduces original, research-informed frameworks that redefine employability as an ethical, adaptive, and human-centred practice. It presents distinctive models including Skills Dynamics, the Justice-Responsibility Framework for Human Flourishing, and the AI Dialogic Partner frameworks that move decisively from principles to practice.

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Generative AI for Game Development Crafting Narrative Worlds with Machines


Generative AI for Game Development: Crafting Narrative Worlds with Machines
English | 2026 | ASIN: B0G6BPG215 | 486 pages | PDF | 20.01 MB
In the era of Generative AI, creating immersive and adaptive experiences in game development has become more innovative and practical than ever before. This book looks to deepen your expertise in using tools such as GPT, DALL-E, and VADER to design dynamic narratives, procedurally generated content, and create AI-powered gameplay.

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Generative AI Design Patterns Solutions to Common Challenges When Building GenAI Agents and Applications


Generative AI Design Patterns: Solutions to Common Challenges When Building GenAI Agents and Applications by Valliappa Lakshmanan, Hannes Hapke
English | November 11th, 2025 | ISBN: 9798341622661 | 506 pages | True EPUB (Retail Copy) | 14.25 MB
Generative AI enables powerful new capabilities, but they come with some serious limitations that you'll have to tackle to ship a reliable application or agent. Luckily, experts in the field have compiled a library of 32 tried-and-true design patterns to address the challenges you're likely to encounter when building applications using LLMs, such as hallucinations, nondeterministic responses, and knowledge cutoffs.