DeepSeek-R1, released by a Chinese AI company, has the same performance as OpenAI's inference model o1, but its model data is open source. Unsloth, an AI development team run by two brothers, Daniel ...

It turns out the rapid growth of AI has a massive downside: namely, spiraling power consumption, strained infrastructure and runaway environmental damage. It’s clear the status quo won’t cut it ...

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 ...

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 ...

Quantization is a method of reducing the size of AI models so they can be run on more modest computers. The challenge is how to do this while still retaining as much of the model quality as possible, ...

Quantum mechanics is the field of physics governing the behavior of things on atomic scales, where things work very differently from our everyday world. One of the most direct manifestations of ...

The Llama 3.1 70Bmodel, with its staggering 70 billion parameters, represents a significant milestone in the advancement of AI model performance. This model’s sophisticated capabilities and potential ...

Compacting an AI model to run faster. AI quantization is primarily performed at the inference side (user side) so that it can run more quickly in phones and desktop computers. For example, whereas the ...