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tywoerre
@tywoerre
optimize using symbolic optimizers. it treats agents as symbolic networks, with learnable weights influenced by prompts, tools, and their arrangement. this approach adapts key learning algorithms like back-propagation and gradient descent to work with symbolic representations
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