prakhar@affmantra.com

A Coding Implementation to Build Neural Memory Agents with Differentiable Memory, Meta-Learning, and Experience Replay for Continual Adaptation in Dynamic Environments

In this tutorial, we explore how neural memory agents can learn continuously without forgetting past experiences. We design a memory-augmented neural network that integrates a Differentiable Neural Computer (DNC) with experience replay and meta-learning to adapt quickly to new tasks while retaining prior knowledge. By implementing this approach in PyTorch, we demonstrate how content-based memory…

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Slow Ventures holds a ‘finishing school’ to help founders learn to be fancy

Slow Ventures hosted a three-hour “Etiquette Finishing School” this week, covering topics like the perfect handshake, public speaking, and office decorum. There was even a fashion show with models showing off different looks for different occasions, and then a closing lesson about caviar and wine. The San Francisco Standard reports that a few hundred founders…

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