Companies running large language models face a persistent bottleneck: the memory consumed by key-value caches during ...

Using special tags embedded in the output, the model directly links every factual claim it makes to the specific source document or database row it pulled the information from.

Nota AI, a company specializing in AI model compression and optimization, announced that two of its papers on MoE-specific ...

You can now download Gemma 4 models with quantization-aware training to reduce the amount of mobile memory required to 1GB.

Reducing the precision of model weights can make deep neural networks run faster in less GPU memory, while preserving model accuracy. If ever there were a salient example of a counter-intuitive ...

The general definition of quantization states that it is the process of mapping continuous infinite values to a smaller set of discrete finite values. In this blog, we will talk about quantization in ...

MiMo-V2.5-Pro-UltraSpeed from Xiaomi blows past the speed threshold custom silicon companies spent years building toward—on ...

Model quantization bridges the gap between the computational limitations of edge devices and the demands for highly accurate models and real-time intelligent applications. The convergence of ...

Xiaomi MiMo-V2.5-Pro-UltraSpeed just hit 1,000 tokens per second 15x faster than ChatGPT on standard GPUs with no custom ...

More parameters doesn't always mean more capabilities.