This new approach, a practical and conceptual shift, points to lighter-weight generative AI models that perform competitively, and in many cases even better.
A new study presented at ICML showed that language models trained with reinforcement learning can find and exploit loopholes to maximize reward β at a cost.
Itβs the worldβs first sub-1nm chip technology, powered by IBMβs new nanostack architecture, paving the way for more powerful chips for years to come.
Researchers show that serving AI models with llm-d can boost inference speeds by up to 5 times and double throughput β all while using heterogeneous GPUs.