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DP-G · Handbook

LLM Engineering Handbook

Complete practitioner guide for building LLM-powered applications in production. Covers: model selection, prompt engineering patterns, RAG architecture, fine-tuning (LoRA, QLoRA), LLM evaluation, and production optimization (cost reduction, latency, caching, fallback strategy).

RAG design Fine-tuning LoRA/QLoRA Evaluation Cost optimization
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Systemdr, Inc.
Systemdr, Inc.
aieworks.systemdrd.com · Newsletter

Why this resource delivers outsized value

The practitioner LLM handbook — RAG to production serving.

What you get

  • 12 chapters: selection, prompting, RAG, fine-tuning, eval, safety, serving
  • Code patterns and architecture decisions explained plainly
  • Bridges gap between tutorials and production systems
  • Foundation for DP-J course and team enablement

Who it's for

  • Engineers building LLM products
  • Teams adopting RAG or fine-tuning
  • Readers of DP-C prompt playbook

LLM application layers

[ UX / API ] -> [ Orchestration ] -> [ Model ]
       |              |
       v              v
[ Eval & safety ]  [ Data / vector DB ]

Deliverable

Premium PDF: DP-G-LLM-Engineering-Handbook.pdf — professionally formatted, print-ready, with Systemdr, Inc. branding throughout.

More free guides and build logs:

Subscribe on Substack → Visit aieworks.systemdrd.com →

The practitioner LLM handbook — RAG to production serving.

What you get

  • 12 chapters: selection, prompting, RAG, fine-tuning, eval, safety, serving
  • Code patterns and architecture decisions explained plainly
  • Bridges gap between tutorials and production systems
  • Foundation for DP-J course and team enablement

    • LLM application layers

    [ UX / API ] -> [ Orchestration ] -> [ Model ]
       |              |
       v              v
[ Eval & safety ]  [ Data / vector DB ]

    Published by Systemdr, Inc. · aieworks.systemdrd.com · Newsletter