توضیحات
This book provides a detailed guide to modern AI engineering, focusing on how foundation models—massive pretrained models like GPT, BERT, and CLIP—are used to create scalable, intelligent applications. It covers principles of AI system design, data pipeline creation, fine-tuning, deployment strategies, and responsible AI practices. Readers learn how to integrate foundation models into real-world products across domains such as NLP, computer vision, and multimodal AI. Emphasizing both theory and hands-on practice, AI Engineering: Building Applications with Foundation Models is ideal for software engineers, data scientists, and AI practitioners seeking to harness the power of large-scale AI models for innovation and automation.
نقد و بررسیها
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