Generative LLM
Generative Large Language Models (LLMs) are a class of AI models designed to produce human-quality text and other data formats. Current research focuses on improving their efficiency (through hardware acceleration and optimized algorithms), enhancing their capabilities (via techniques like instruction fine-tuning and data augmentation), and mitigating limitations such as memorization and biases. These advancements are driving significant progress in various fields, including natural language processing, materials science, and healthcare, by automating tasks, improving data analysis, and enabling new forms of human-computer interaction.
Papers
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