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While building compound agentic systems, some of the design dimensions that we consider optimizing are memory, context management (what the systems sees vs does not) and the accumulating history over longer horizons.
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I recently wrote some code for our internal agent harness and system architecture that I was particularly happy with.
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The project I have been working on for the past few months involves building enterprise agents to assist internal users with their workloads.
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Optax is an optimization library for JAX which provides out-of-the-box apis for commonly used ml loss functions, optimizers and utilities like learning rate schedulers.