How does DeepSeek AI compare to ChatGPT in terms of language capabilities and model architecture?
How does DeepSeek AI compare to ChatGPT in terms of language processing capabilities, including accuracy, fluency, contextual understanding, and multilingual proficiency, particularly for languages such as English, Chinese, and Hindi? Additionally, how do the underlying model architectures of DeepSeek AI and ChatGPT differ in terms of training data, token limits, efficiency, adaptability to various domains, and their ability to handle complex queries, nuanced conversations, and industry-specific applications?
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