Launch of the book "AI Techniques: Building Applications with Platform Models"

The Science, Technology, and Communications Publishing House has just released the Vietnamese version of "AI Engineering: Building Applications with Platform Models" by Chip Huyen, a computer scientist specializing in machine learning systems. The 728-page, large-format (17x23cm) book is a guide to building, deploying, and operating AI systems in real-world production environments.

The book is released at a time when artificial intelligence is emerging from the laboratory, becoming a crucial technological foundation for many industries.

The rapid development of AI-generated platform and AI models, especially large-scale language models, opens up the potential for creating unprecedented intelligent applications. However, along with this opportunity comes a knowledge gap in practical implementation: How to transform the power of AI models into stable, secure, and scalable operating systems.

Unlike many traditional AI literatures that focus solely on algorithms or model training, AI Engineering approaches artificial intelligence from a systems perspective. The author guides the reader through the entire lifecycle of an AI application—from platform model selection, architectural design, evaluation and optimization, to operation, monitoring, and user feedback collection. This approach reflects a shift from "experimental AI" to "infrastructure AI," requiring serious and responsible development.

The book also analyzes the risks of generative AI such as hallucinations, inconsistent output, ethical challenges, and data security, emphasizing that practical AI deployment requires rigorous evaluation processes and continuous monitoring mechanisms.

Launch of the book "AI Techniques: Building Applications with Platform Models".

The book's content is logically structured, from fundamental model concepts to model evaluation methods, systems, command prompting techniques, fine-tuning, data engineering, and inference optimization… Instead of relying on trends or tools, the author focuses on fundamental principles with long-term value, helping readers understand how to build AI systems correctly. This is a useful resource not only for AI engineers, data scientists , and programmers, but also for technology leaders, product managers, and those shaping AI strategies in businesses.

The book has received many positive reviews from international experts. Vittorio Cretella, former global CIO of P&G and Mars, commented, "This book provides a comprehensive, well-structured guide to the essential aspects of building generative AI systems. It's a must-read for any professional looking to scale AI across their entire enterprise."

Luke Metz, co-creator of ChatGPT and former research manager at OpenAI, stated: "With its extensive expertise, the book 'AI Engineering' serves as a comprehensive and holistic guide, professionally describing everything needed to design and deploy generative AI applications in a production environment."

Andrei Lopatenko, Director of Search and Artificial Intelligence at Neuron7, believes that "every AI engineer building real-world applications should read this book" because it fully outlines how to design AI systems from start to finish.

Aileen Bui, Google's AI Product Operations Director, sees this as "essential documentation for building scalable AI products," helping to bridge the gap between different functional groups within the organization. Rafal Kawala, a senior AI engineering director with 16 years of experience at a Fortune 500 corporation, emphasizes that the book "clarifies the technology, highlights critical thinking, and points out the necessary preparations before refining the model."

The launch of "AI Engineering: Building Applications with Platform Models" is particularly significant in the context of Vietnam's accelerated digital transformation, digital economic development, and the application of AI in various fields. The book not only helps to disseminate advanced AI knowledge but also contributes to shaping the mindset of building AI as a system requiring rigorous design, management, and evaluation.

With its in-depth expertise, comprehensiveness, and practical perspective, the work is expected to become an indispensable guide for the Vietnamese technology community in the journey of bringing AI from idea to reality.

Center for Science and Technology Communication

Source: https://mst.gov.vn/ra-mat-sach-ky-thuat-ai-xay-dung-ung-dung-voi-mo-hinh-nen-tang-19726012210263437.htm