Researchers have demonstrated a photonic chip that trains itself on the hardware using on-chip holography to compute physical ...

In a recent collaboration, AI startup Gradient and cloud compute platform Crusoe extended the “context window” of Llama-3 models to 1 million tokens. The context window determines the number of input ...

There are two major workloads that make up AI compute: training and inference. Training looks back. It digests a frozen body of past text, images and code, and distills it into weights. Inference ...

Stochastic gradient descent and Adam are optimization algorithms that update model parameters from estimated gradients, but they use different rules for momentum and per-parameter step sizes. This ...