Scalable LLM Memory — Engram & Memory Banks Explained | Beyond KV Cache

Zariga Tongy · Beginner ·🧠 Large Language Models ·3mo ago

About this lesson

Why attention alone hits limits: the KV cache grows with sequence length. A complementary idea is a fixed memory bank the model reads by similarity — lookup layers (e.g. Engram-style research) alongside transformers. Prereq: attention & transformers (5.4). 🔗 https://8gwifi.org/math #LLM #Engram #memory #transformers #KVcache #AI #deeplearning

Original Description

Why attention alone hits limits: the KV cache grows with sequence length. A complementary idea is a fixed memory bank the model reads by similarity — lookup layers (e.g. Engram-style research) alongside transformers. Prereq: attention & transformers (5.4). 🔗 https://8gwifi.org/math #LLM #Engram #memory #transformers #KVcache #AI #deeplearning

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