Conversational Large Language Model

Conversational large language models (LLMs) aim to create AI systems capable of engaging in natural, coherent, and safe dialogues with humans. Current research focuses on improving efficiency (e.g., optimizing token usage), enhancing alignment with human conversational norms through various decoding methods and reinforcement learning, and mitigating security vulnerabilities like backdoor attacks. These advancements are crucial for deploying LLMs in diverse applications, from customer service to healthcare, while addressing ethical concerns around bias, safety, and misuse.