New AI training method mitigates the "lost-in-the-middle" problem that plagues LLMs

Researchers from Microsoft, Peking University, and Xi'an Jiaotong University have developed a new data-driven approach called INformation-INtensive (IN2) training that aims to solve the "lost-in-the-middle" problem in large language models (LLMs).

The article New AI training method mitigates the "lost-in-the-middle" problem that plagues LLMs appeared first on THE DECODER.

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