Hands-On AI Engineering: Code First Guide to Building Production Grade LLM Systems with Python | Accompanied with GitHub Tutorials | Learn about Transformers Foundation Models & ML Pipelines
Explore the foundations of modern AI engineering through a practical, code-first guide to large language model systems. Using Python, this book covers transformers, foundation models, and machine learning pipelines, with accompanying GitHub tutorials to support hands-on learning and implementation.
About This Book
Hands-On AI Engineering presents a code-first guide to building production-grade large language model systems with Python.
The book covers transformers and foundation models, introducing key concepts for readers exploring modern artificial intelligence engineering.
It also addresses machine learning pipelines, connecting model-focused ideas with practical system development.
Accompanying GitHub tutorials provide an additional path for following along with the material and applying the concepts in code.
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