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The LLM Architect's Blueprint: Building, Fine-Tuning, and Scaling Enterprise-Grade Generative AI Applications with Python
Paperback
Publisher: Independently Published
Published: Jan 27 2026
Pages: 488
Weight: 2.47
Height: 0.98 Width: 8.50 Depth: 11.00
Language: English
- Practical fine-tuning recipes (PEFT / LoRA / QLoRA) and packaging for production
- Ops + reliability playbook: tracing, replay debugging, cost dashboards, load tests, fallbacks, and circuit breakers
- Security & compliance patterns: PII redaction, prompt-injection defenses, audit trails, tenant isolation
- A capstone project you can clone: move from pilot to multi-team production with operational handoffs Who this book is for Backend engineers, ML engineers, SREs, and engineering leaders building enterprise generative AI applications with Python - especially if you care about cost, security, and getting from demo to dependable quickly. A quick promise: follow the capstone and templates and you'll have a secure RAG pilot and production-ready API scaffolding you can demo to stakeholders in days, not months. Ready to stop babysitting models and start shipping systems? Open the blueprint, roll up your sleeves, and let's build something your compliance team will actually approve. - Adrian Vossner
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