General Purpose LLM

General-purpose large language models (LLMs) aim to create AI systems capable of handling diverse tasks without extensive retraining. Current research focuses on improving their robustness, particularly addressing vulnerabilities like "jailbreaks" that exploit weaknesses in safety mechanisms, and enhancing their capabilities through techniques such as expert model integration and specialized prompting strategies for specific domains (e.g., healthcare, legal). These advancements are significant because they could lead to more reliable and versatile AI tools applicable across numerous fields, while simultaneously highlighting the need for careful consideration of ethical implications and potential biases.