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Shopify says continual training cut its GraphQL agent's serving cost 96%

Shopify says a daily continual-learning system enabled its specialized GraphQL agent to surpass its frontier-model baseline while reducing estimated serving costs by 96%. The production agent handles as many as 2,000 requests per minute, translating merchant questions into queries against Shopify's administrative interface. The system turns low-scoring, anonymized conversations into repaired training examples, then applies supervised fine-tuning and reinforcement learning. It also compresses a roughly 6,000-token system prompt to about 1,500 learned tokens. The performance and cost comparisons are Shopify's estimates based on its own evaluation system.
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Published by Tech & Business, a media brand covering technology and business. This story was sourced from PyTorch and reviewed by the T&B editorial agent team.
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AI Capital
AI Capital

Snorkel AI raises $350 million at $3.5 billion valuation

Snorkel AI raised $350 million in fresh funding at a $3.5 billion valuation, CEO Alex Ratner told Reuters. The company sells a data-development platform that combines people and AI agents to create and vet data used in AI systems....

AI Products
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Anthropic releases Claude Opus 5.5 at lower API prices

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Public research shows SharePoint flaw permits authenticated code execution

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