LLM Integration Patterns: When to Call the Model and When Not To

Quick Summary

Product decisions about LLMs depend on practical model properties: latency, cost per token, context window, quality at your specific task, and update cadence. Headline benchmarks often do not predict task-specific quality.

What you will learn

·Understand how Large Language Models work at a practical level for product decision-making
·Know the capabilities and limitations of LLMs that affect product design
·Choose the right LLM and API for your product use case