OpenAI Researchers Propose a Multi-Step Reinforcement Learning Approach to Improve LLM Red Teaming

As the use of large language models (LLMs) becomes increasingly prevalent across real-world applications, concerns about their vulnerabilities grow accordingly. Despite their capabilities, LLMs are still susceptible to various types of adversarial attacks, including those that generate toxic content, reveal private information, or allow for prompt injections. These vulnerabilities pose significant ethical concerns regarding bias, […]

The post .