Tech Xplore

Personalization features can make LLMs more agreeable, potentially creating a virtual echo chamber

Many of the latest large language models (LLMs) are designed to remember details from past conversations or store user profiles, enabling these models to personalize responses. But researchers from ...
IEEE

Predictive Model Based on Dynamic Multitemporal Feature Graph Networks and Application to Industrial Process Anomaly Monitoring

Abstract: Aiming at the problems of spatial coupling between process parameters and time dependence in actual industrial processes, which lead to insufficient reliability and poor timeliness of ...
IEEE

Noise Mask Network-based Feature Learning of Vibration Signals for Machinery Fault Diagnosis under Multiple Non-ideal Conditions

Abstract: Although deep learning techniques have been successfully applied in machinery fault diagnosis, the key problems of feature learning under multiple non-ideal conditions have not been well ...

MIT's new fine-tuning method lets LLMs learn new skills without losing old ones

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.