Shopify Introduces Gisting: Compressing LLM System Prompts into Learned Tokens

InfoQ (AI, ML & Data)
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Shopify developed Gisting, a method that compresses large LLM prompts into smaller learned tokens, reducing inference latency and costs without changing model weights. This technique cut a 6000-token prompt to 1500 gist tokens, improving throughput and lowering GPU needs.

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