InfoWorld

19 large language models for safety or danger

These new models are specially trained to recognize when an LLM is potentially going off the rails. If they don’t like how an interaction is going, they have the power to stop it. Of course, every ...
IEEE

Detection of Data Exposures in Software Services Using a Large Language Model

Abstract: Data exposures in software services consist of inadvertent or malicious leakages of confidential or sensitive information in software services. These leakages in software services are ...
British Journal of Ophthalmology

Intracapsular metformin bioactivity and its role in posterior capsule opacification

Background/aims Posterior capsule opacification (PCO) is the most frequent long-term complication after cataract surgery, caused by proliferation of residual lens epithelial cells (LECs). Metformin, a ...
eLife

A proteome-wide biochemical screen defines binding determinants of the core autophagy protein LC3B

Human MAP1LC3B (LC3B) binds proteins involved in autophagy and other cellular processes using a degenerate four-residue short linear motif known as the LC3-interacting region (LIR). Biochemical and ...
IEEE

Sentimental Analysis of airline tweets using Machine Learning Algorithm and Regular Expression

Abstract: Sentiment analysis is a technique that uses natural language processing techniques to analyze the feelings and usage of textual content evaluation.Sentiment analysis makes use of information ...