A Smarter Way to Talk to AI: Here's How to ‘Context Engineer’ Your Prompts

A team at Shanghai AI Lab says most AI errors stem not from bad models but from thin prompts. Their solution—“context engineering”—shows that giving language models richer background information leads to better results.

A new paper from Shanghai AI Lab argues that large language models don’t always need bigger training data to get smarter—just better instructions. The researchers found that carefully designed “context prompts” can make AI systems produce more accurate and useful responses than generic ones.

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