An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...
As firms increasingly incentivize employees to build and oversee complex teams of agents—for example, by measuring and ...
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