Hey Atlas Ai
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The Marcusean Mind
Author: Eduardo Altheman C. Santos
language: en
Publisher: Taylor & Francis
Release Date: 2024-10-29
Herbert Marcuse (1898–1979) was a member of the Frankfurt School, a leading figure of 1960s counterculture, and a fundamental character for the New Left. His ideas and theories, inspired by a rich fusion of Marxian and Freudian thought, exert a strong influence on contemporary thinking about activism, emancipation, and political resistance. He was also a student of Martin Heidegger in the late 1920s and engaged deeply with philosophy throughout his career. The Marcusean Mind is an outstanding survey and assessment of Marcuse's thought. Beginning with a thorough introduction to Marcuse's life and work, 39 chapters by an international and interdisciplinary team of contributors are organized into five clear parts: Intellectual Ecosystems of Marcuse Reason and Sensibilities Futures and Utopias Contemporary Movements Counterrevolutions, Neoliberalism, and Fascism These sections each contain a short introduction, after which Marcusean ideas are brought to bear on many key contemporary debates and issues across the humanities, social sciences, and science and technology. Including a Foreword by Craig Calhoun and an Afterword by Douglas Kellner, The Marcusean Mind is a superb resource for anyone interested in Marcuse's thought and its legacy. It is valuable reading for students of contemporary political theory, activism, philosophy, sociology, media and cultural studies, critical legal studies, and race and gender studies.
Building AI Intensive Python Applications
Author: Rachelle Palmer
language: en
Publisher: Packt Publishing Ltd
Release Date: 2024-09-06
Master retrieval-augmented generation architecture and fine-tune your AI stack, along with discovering real-world use cases and best practices to create powerful AI apps Key Features Get to grips with the fundamentals of LLMs, vector databases, and Python frameworks Implement effective retrieval-augmented generation strategies with MongoDB Atlas Optimize AI models for performance and accuracy with model compression and deployment optimization Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe era of generative AI is upon us, and this book serves as a roadmap to harness its full potential. With its help, you’ll learn the core components of the AI stack: large language models (LLMs), vector databases, and Python frameworks, and see how these technologies work together to create intelligent applications. The chapters will help you discover best practices for data preparation, model selection, and fine-tuning, and teach you advanced techniques such as retrieval-augmented generation (RAG) to overcome common challenges, such as hallucinations and data leakage. You’ll get a solid understanding of vector databases, implement effective vector search strategies, refine models for accuracy, and optimize performance to achieve impactful results. You’ll also identify and address AI failures to ensure your applications deliver reliable and valuable results. By evaluating and improving the output of LLMs, you’ll be able to enhance their performance and relevance. By the end of this book, you’ll be well-equipped to build sophisticated AI applications that deliver real-world value.What you will learn Understand the architecture and components of the generative AI stack Explore the role of vector databases in enhancing AI applications Master Python frameworks for AI development Implement Vector Search in AI applications Find out how to effectively evaluate LLM output Overcome common failures and challenges in AI development Who this book is for This book is for software engineers and developers looking to build intelligent applications using generative AI. While the book is suitable for beginners, a basic understanding of Python programming is required to make the most of it.
The Atlas of AI
Author: Kate Crawford
language: en
Publisher: Yale University Press
Release Date: 2021-04-06
The hidden costs of artificial intelligence, from natural resources and labor to privacy and freedom What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? In this book Kate Crawford reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequality. Drawing on more than a decade of research, award-winning science, and technology, Crawford reveals how AI is a technology of extraction: from the energy and minerals needed to build and sustain its infrastructure, to the exploited workers behind "automated" services, to the data AI collects from us. Rather than taking a narrow focus on code and algorithms, Crawford offers us a political and a material perspective on what it takes to make artificial intelligence and where it goes wrong. While technical systems present a veneer of objectivity, they are always systems of power. This is an urgent account of what is at stake as technology companies use artificial intelligence to reshape the world.