•1 min read•from InfoQ
Shopify Introduces Gisting: Compressing LLM System Prompts into Learned Tokens
Shopify's engineering introduced gisting, a novel technique for compressing long LLM prompts into a smaller set of learned "gist" tokens, improving throughput and reducing inference cost.
By Sergio De SimoneWant to read more?
Check out the full article on the original site
Tagged with
#Shopify
#LLM
#Gisting
#Prompt Compression
#Tokens
#Inference Cost
#Throughput
#Learned Tokens
#System Prompts
#Engineering
#AI
#Machine Learning
#Optimization
#Performance
#Compression Technique
#Large Language Models
#Algorithm
#Computational Efficiency
#Novel Technique
#Sergio De Simone