Tagged articles

conditional memory

4 articles · Page 1 of 1
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Oct 11, 2026 · Artificial Intelligence

DeepSeek's Cost Curve Chronicle: How Token Economics Rewrote LLM Architecture

This article chronicles DeepSeek's paper timeline from 2023 to 2026, analyzing how each model generation optimized training compute, KV cache, and throughput via MoE, MLA, sparse attention, and conditional memory, shifting long-context competition from maximum length to per-token byte cost.

DeepSeekGRPOKV-Cache Optimization
0 likes · 37 min read
DeepSeek's Cost Curve Chronicle: How Token Economics Rewrote LLM Architecture
DataFunTalk
DataFunTalk
Jan 13, 2026 · Artificial Intelligence

How Conditional Memory (Engram) Boosts Large Language Models Beyond MoE

DeepSeek's new paper introduces a conditional memory mechanism called Engram that complements Mixture‑of‑Experts, providing O(1) lookup, improving knowledge retrieval, reasoning, and long‑context performance while scaling efficiently on the same FLOPs budget.

EngramLarge Language Modelsconditional memory
0 likes · 18 min read
How Conditional Memory (Engram) Boosts Large Language Models Beyond MoE
PaperAgent
PaperAgent
Jan 13, 2026 · Artificial Intelligence

How Engram’s Conditional Memory Redefines Sparsity in Large Language Models

DeepSeek’s newly released Engram module introduces a conditional memory mechanism that leverages O(1) N‑gram lookup to create a new sparsity axis for large language models, reducing early‑layer compute, improving inference efficiency, and delivering notable performance gains across reasoning and knowledge tasks, as demonstrated by extensive experiments on 27‑billion‑parameter models.

EngramLLM SparsityLarge Language Models
0 likes · 8 min read
How Engram’s Conditional Memory Redefines Sparsity in Large Language Models