Real Long-Term Memory for AI: A 50-Million-Token Window That Is Faster and Cheaper Than Recompute
A large language model can only use the text that fits in its context window, and it recomputes its internal key-value (KV) state for a prompt every time the prompt is sent. We test a memory layer, the public package galahad-kv, that saves the KV state of each block of about 16,000 tokens to encryp…
Read the full story at r/huggingface ↗
Timeline · 3 reports
- 2026-10-09 04:00 · arXiv cs.CL
Real Long-Term Memory for AI: A 50-Million-Token Window That Is Faster and Cheaper Than Recompute - 2026-10-09 00:28 · r/machinelearningnews
Real Long-Term Memory for AI: A 50-Million-Token Window That Is Faster and Cheaper Than Recompute - 2026-10-09 00:19 · r/huggingface
Real Long-Term Memory for AI: A 50-Million-Token Window That Is Faster and Cheaper Than Recompute