57Design a document summarization service at scale.▼mediumGoogleMicrosoftAmazon2 replies◆ premiumTwo forces decide this design: documents longer than the context window, and summaries that must not lie. The strong answer pairs hierarchical map-reduce with claim-level grounding, then serves it cheaply at scale.Open full answer →
89Design a document summarization pipeline that handles long documents at high throughput.▼hardOpenAIAnthropicGoogle1 replies◆ premiumSummarizing a 200-page contract is not one LLM call: it is chunking, hierarchical reduction, and a faithfulness check so you never invent facts. Learn the map-reduce pattern, when long-context beats it, and how to evaluate summaries at scale.Open full answer →