(1) We released the 50 diffusion steps model (instead of 1000 steps) which runs 20X faster with comparable results. (2) Calling CLIP just once and caching the result runs 2X faster for all models.

Looking ahead, TCS plans four progressions - establish a large pool of AI agents working alongside our human workforce, ...

TCS is seeing Gen AI’s widespread adoption accelerating, powered by parallel advances in semiconductors, cloud computing, ...

In this paper, we propose an autonomous model update scheme to (i) filter the data packets of a new application from active network traffic and build a corresponding training dataset; and (ii) update ...

Specifically, aggregation nodes are responsible for parameter aggregation and updating, while training nodes execute training tasks and transmit model gradients to the aggregation nodes asynchronously ...