Beyond the Transformer FFN: How CellularFlow Solves Catastrophic Forgetting

Beyond the Transformer FFN: How CellularFlow Solves Catastrophic Forgetting with Multi-Head Associative Memory

By Celcilin C S (@celcilin)

A deep dive into replacing dense feed-forward networks with addressable DNA memory banks, achieving zero-backpropagation streaming learning, and preserving 83.9% domain retention.

1. The Elephant in the AI Room: Why Modern LLMs Forget

If you take any state-of-the-art Large Language Model (LLaMA, Mistral, GPT-4) and train it sequentially on new domains—say, Medical notes, then Legal contracts, then Rust code—something catastrophic happens.

Beyond the Transformer FFN: How CellularFlow Solves Catastrophic Forgetting

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