Detailed in a recently published technical paper, the Chinese startup’s Engram concept offloads static knowledge (simple ...
Researchers at the Tokyo-based startup Sakana AI have developed a new technique that enables language models to use memory more efficiently, helping enterprises cut the costs of building applications ...
While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...
Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten inference economic viability ...
SNU researchers develop AI technology that compresses LLM chatbot ‘conversation memory’ by 3–4 times
In long conversations, chatbots generate large “conversation memories” (KV). KVzip selectively retains only the information useful for any future question, autonomously verifying and compressing its ...
This brute-force scaling approach is slowly fading and giving way to innovations in inference engines rooted in core computer ...
AI chatbots can't remember things well. However, scientists might have fixed AI's critical short-term memory issue, while OpenAI is also beginning to roll out long-term memory for ChatGPT. When you ...
A new technical paper titled “Combating the Memory Walls: Optimization Pathways for Long-Context Agentic LLM Inference” was published by researchers at University of Cambridge, Imperial College London ...
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