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A new study challenges a core assumption in AI: instead of massive datasets, just 78 carefully chosen training examples may be enough to build superior autonomous agents.
The article Study claims 78 training examples are enough to build autonomous agents appeared first on THE DECODER.
<p>Researchers at Meta, the University of Chicago, and UC Berkeley have developed a new framework that addresses the high costs, infrastructure complexity, and unreliable feedback associated wit [...]
<p>A new framework developed by researchers at Google Cloud and DeepMind aims to address one of the key challenges of developing computer use agents (CUAs): Gathering high-quality training examp [...]