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
Hands-On AI Engineering is a code-first guide to building production-grade LLM systems with Python. It covers transformers, foundation models, and machine learning pipelines, and includes accompanying GitHub tutorials for readers exploring practical artificial intelligence engineering.
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 as core topics in modern artificial intelligence engineering.
It also explores machine learning pipelines, connecting model concepts with practical system-building workflows.
Accompanying GitHub tutorials provide additional material for readers working through the guide.
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