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 ...
The Chosun Ilbo on MSN
NVIDIA invests $150 million in AI inference startup Baseten
On the 20th (local time), the Wall Street Journal (WSJ) reported that NVIDIA invested $150 million (approximately 220.7 ...
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 ...
A new technical paper titled “System-performance and cost modeling of Large Language Model training and inference” was published by researchers at imec. “Large language models (LLMs), based on ...
ByteDance's Doubao AI team has open-sourced COMET, a Mixture of Experts (MoE) optimization framework that improves large language model (LLM) training efficiency while reducing costs. Already ...
TensorRT-LLM adds a slew of new performance-enhancing features to all NVIDIA GPUs. Just ahead of the next round of MLPerf benchmarks, NVIDIA has announced a new TensorRT software for Large Language ...
Demand for AI solutions is rising—and with it, the need for edge AI is growing as well, emerging as a key focus in applied machine learning. The launch of LLM on NVIDIA Jetson has become a true ...
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