… Starting in 2024, however, Meta Platforms started talking about a new approach to DLRMs, which is called generative recommenders and based on a technique called Hierarchical Sequential Transduction Unit HSTU , that borrowed some of the techniques of LLMs and basically treats user activity as a lang… …
… He also stressed improvements in TensorRT-LLM, an open library that accelerates LLM inferencing on its GPUs through such capabilities as parallelism techniques and multi-token prediction, which enables language models to learn to predict multiple future tokens simultaneously, rather than just the n… …
… Even so, building LLMs that don’t need the same amount of compute power doesn’t solve the fundamental data problem. …
… They deliver up to four times faster LLM training with the eight-way Nvidia HG B300 accelerators. The 10U air-cooled servers can run on Intel Xeon 6 or AMD Epyc 9005 CPUs, while the liquid-cooled systems are dense GPU-powered 3U machines. …
… But overall, our goal is to really to increase productivity and efficiency, to help customers adopt AI.” With the latest version of the OpenShift AI, a hybrid and open AI and machine learning platform, organizations can deploy models to the resource-constrained and air-gapped edge environments via … …