Get the latest tech news
LLMs can’t outperform a technique from the 70s, but they’re still worth using — here’s why
Why we must develop methods, procedures and practices to make sure that improvements in some areas don't eliminate LLMs' other advantages.
This has been a common machine learning (ML) task for decades, used frequently in industry to anticipate and find problems with heavy machinery. This is a huge efficiency gain, because certain types of heavy machinery, like satellites, may have thousands of signals, while others may require training for specific conditions. This ability for operators to directly control anomaly detection will change difficult dynamics around deployment and may help to make these tools much more pervasive.
Or read this on Venture Beat
