Chat Model
Chat models, large language models (LLMs) fine-tuned for conversational interaction, aim to create more natural and helpful AI assistants. Current research focuses on improving their reasoning abilities, safety (including mitigating biases and backdoor vulnerabilities), and efficiency through techniques like knowledge fusion and parameter-efficient fine-tuning, often leveraging architectures like Mixture of Experts. These advancements are significant for both advancing fundamental AI research and enabling practical applications across diverse fields, from healthcare and finance to software development and education.
Papers
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