Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
LLM Systems Engineering for AI Engineers: Build, Fine-Tune, Evaluate, Deploy, and Monitor Production-Ready Large Language Models with Python, PyTorch,

LLM Systems Engineering for AI Engineers: Build, Fine-Tune, Evaluate, Deploy, and Monitor Production-Ready Large Language Models with Python, PyTorch,

Maranto, Steven J.

Paperback

General ComputersProgramming

ISBN13: 9798185300183
Publisher: Independently Published
Published: Jul 2 2026
Pages: 224
Weight: 0.87
Height: 0.47 Width: 7.00 Depth: 10.00
Language: English
LLM Systems Engineering for AI Engineers: Build, Fine-Tune, Evaluate, Deploy, and Monitor Production-Ready Large Language Models with Python, PyTorch, Hugging Face, RAG, and MLOps

Move beyond LLM demos and learn how production AI systems are actually engineered.

Many AI projects start with a promising prompt, then struggle when real users, private data, latency limits, evaluation failures, security risks, and deployment problems appear. How do you choose between RAG, fine-tuning, continued pretraining, hosted APIs, and open models? How do you test whether an LLM system is accurate, safe, cost-aware, and ready for production?

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