BUILDING WITH LLMS: FROM PROTOTYPE TO PRODUCTION: A DEVELOPER'S FIELD GUIDE

Move your LLM projects from prototype to production with practical architecture patterns and runnable examples

Many prototypes fail when exposed to real users because of cost, latency, safety, or integration gaps. This book guides developers through the engineering choices that turn experiments into reliable production systems.

Follow clear, developer focused guidance for selecting models, building retrieval enhanced pipelines, integrating tools, and operating LLMs at scale while meeting security and compliance requirements.

how to select and compare model families for real use cases
build a first LLM application including environment setup and API patterns
design retrieval augmented generation pipelines with embeddings and vector databases
implement function calling tool integrations and agent orchestration
fine tune and evaluate models and manage drift
operationalize with observability ci cd and mlops practices
secure deployments and compliance strategies for regulated domains
This book contains working code snippets and practical examples in Python for embeddings vector databases function calling agent flows and deployment patterns that you can adapt for real projects.