MeMo's memory model lets teams upgrade their LLM without retraining it — and performance jumps 26%
Researchers' MeMo keeps AI memory separate from reasoning, so teams can upgrade their LLM without retraining it and see a 26% ...
You can now download Gemma 4 models with quantization-aware training to reduce the amount of mobile memory required to 1GB.
Researchers built delta-mem to give AI agents working memory at 0.12% parameter overhead, outperforming RAG and context expansion on memory-heavy agent tasks.
In the fast-paced world of artificial intelligence, memory is crucial to how AI models interact with users. Imagine talking to a friend who forgets the middle of your conversation—it would be ...
ZetaChain launched Anuma, its first consumer AI product: the private AI that remembers, with one encrypted memory across ...
Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations -- it's a triumph of your associative memory, in which one piece of information (the first few ...
A trillion-parameter Kimi K2.5 model ran on a consumer RTX 3060 with 768GB Intel Optane memory at 4 tokens/sec, showcasing AI's growing hardware accessibility.
Interesting Engineering on MSN
Intel-backed memory tech powers 26-billion-parameter models on PCs with just 16 GB RAM
Phison says its new memory extension technology can run a 26-billion-parameter language model on ...
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