Data originates at the edge, and processing it locally unlocks powerful real-time efficiencies that open very rich product ...

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, ...

The reason why large language models are called ‘large’ is not because of how smart they are, but as a factor of their sheer ...

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 ...