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 ...
Efficient scaling of large language models with mixture of experts and 3D analog in-memory computing
Transformer-based large language models (LLMs) have demonstrated state-of-the-art capabilities across a spectrum of tasks 1,2,3,4, and their remarkable generative capacity has led to a transformative ...
A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...
When it comes to deploying Artificial Intelligence (AI) models, Python is a popular choice among developers, and PyTriton is rapidly becoming a favored tool for this task. Today, we’ll delve into the ...
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High-VRAM GPUs aren't the future of local AI — unified memory and mixture of experts models are
If you've spent any time around local AI, you've absorbed the same rule of thumb everyone else has: more VRAM is better, and a discrete GPU stuffed with it is the dream. It's not bad advice, as any ...
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