Shopify CTO Promotes Gisting to Compress LLM Prompts

Mikhail Parakhin, CTO at Shopify, posted that gisting compresses prompts before production use. He described it as zipping prompts to make them smaller and faster while improving results. Parakhin called it his favorite technique to tune models quickly without changing weights and linked to a Shopify engineering post on the method. The post states gisting compresses context into learned tokens to increase throughput and reduce cost while preserving quality. A reply from Alex Volkov asked about the skill or best way to apply it.