Updating large language models by direct editing of networking
One of the major attractions of large language models (LLMS) is that they encoding information about the real world. But the world is constantly changing, and an LLMS information is only as frown the data it was trained on. Training an LLM can take months even when the task is parallelized across 1,000 servers, so … Read more