BestHub
Sign in
Tagged articles

parameter-level memory

2 articles · Page 1 of 1
DataFunSummit
DataFunSummit
Jun 24, 2026 · Artificial Intelligence

Three Forms of Large Model Memory – Parameter, Token, and Latent – Why Top Companies Are All‑In

A new paper unifies AI memory research with a three‑dimensional framework (Forms, Functions, Dynamics), classifies memory as parameter‑level, token‑level, or latent‑space, and evaluates real‑world implementations from OpenAI, Google, Amazon and dozens of open‑source frameworks, highlighting trade‑offs such as retrieval quality, catastrophic forgetting and forgetting mechanisms.

AI memoryagent architectureframework comparison
0 likes · 19 min read
Three Forms of Large Model Memory – Parameter, Token, and Latent – Why Top Companies Are All‑In
DataFunSummit
DataFunSummit
May 4, 2026 · Artificial Intelligence

Best Practices for Persistent, Reliable AI Agent Memory: Insights from the ‘Memory in the Age of AI Agents’ Paper

The article analyzes the 2025 "Memory in the Age of AI Agents" paper, presenting its three‑dimensional classification of AI memory (Forms, Functions, Dynamics), comparing token‑level, parameter‑level and latent‑space approaches, evaluating major frameworks such as Mem0, Letta, Zep, ReMem, and offering concrete guidance on design, forgetting mechanisms, retrieval strategies, and future research directions.

AI memoryAgentic AIlatent space memory
0 likes · 17 min read
Best Practices for Persistent, Reliable AI Agent Memory: Insights from the ‘Memory in the Age of AI Agents’ Paper