April 12, 2024, 7:25 p.m. | Alex McFarland

Unite.AI www.unite.ai

In recent years, large language models (LLMs) and AI chatbots have become incredibly prevalent, changing the way we interact with technology. These sophisticated systems can generate human-like responses, assist with various tasks, and provide valuable insights. However, as these models become more advanced, concerns regarding their safety and potential for generating harmful content have come […]


The post MIT Researchers Develop Curiosity-Driven AI Model to Improve Chatbot Safety Testing appeared first on Unite.AI.

advanced ai chatbots ai model become chatbot chatbots concerns curiosity ethics generate however human human-like insights language language models large language large language models llms mit mit researchers researchers responses safety systems tasks technology testing the way

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Research Scientist (Computer Science)

@ Nanyang Technological University | NTU Main Campus, Singapore

Intern - Sales Data Management

@ Deliveroo | Dubai, UAE (Main Office)