Patterns for Building LLM-based Systems & Products
Eugene Yan
This article discusses seven key patterns for integrating large language models into production systems and products, with detailed focus on evaluations as a method to measure performance. The article covers multiple evaluation metrics including BLEU, ROUGE, BERTScore, and MoverScore, noting that MMLU implementations vary across providers causing score fluctuations of significant magnitude. The practical implication is that teams building LLM products need robust evaluation frameworks and should be cautious about comparing model benchmarks across different implementations due to reproducibility issues.
Why it matters
Evals, RAG, fine-tuning, caching, guardrails, defensive UX, and collecting user feedback.
