GPT-4 outperforms both previous large language models and as of 2023, most state-of-the-art systems (which often have benchmark-specific training or hand-engineering). On the MMLU benchmark, an English-language suite of multiple-choice questions covering 57 subjects, GPT-4 not only outperforms existing models by a considerable margin in English, but also demonstrates strong performance in other languages.
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GPT-4 is a highly advanced language model that uses a transformer architecture for processing complex linguistic structures. It’s capable of generating human-like text, making it useful for a variety of applications. One of the key features of GPT-4 is its attention mechanism, which allows the model to discern which pieces of data are more relevant than others. This results in more targeted and informative responses, enhancing user interaction.
GPT-4 can handle over 25,000 words of text, allowing for use cases like long-form content creation, extended conversations, and document search and analysis. It surpasses GPT-3.5 in its advanced reasoning capabilities.
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