AI & LLM Integration Technical Whitepaper

Introduction

This whitepaper provides a technical overview of integrating large language models (LLMs) into production software systems. We cover architecture patterns, latency optimization, cost control, and safety guardrails based on real-world deployments.

Key Topics

• Architecture patterns: Streaming, batching, and hybrid approaches
• Latency optimization: Caching, speculative decoding, and model selection
• Cost control: Token budgeting, tiered models, and usage analytics
• Safety guardrails: Input/output validation, PII handling, and audit logging

Target Audience

Engineering leads, architects, and developers responsible for AI/LLM integration in production environments.