Shopify uses Gisting to compress LLM context for speed and cost gains
MParakhin · x · 2026-08-21
The Shopify engineering blog details 'Gisting', a technique that compresses system prompts into special 'gist' tokens via knowledge distillation. In practice, compressing a 6,000-token prompt to 1,500 tokens reduced median time-to-first-token by 19% and increased throughput by 16% without losing prediction quality.
Related event: Gisting Compresses Prompts to Cut LLM Costs by 75%(3 posts)→
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