DeepSeek is an innovative open-source large language model developed by a Chinese AI research firm, designed to rival systems like OpenAI's ChatGPT. Its architecture leverages a mixture of experts (MoE) and incorporates transformed layers for enhanced natural language processing capabilities. Notably, DeepSeek predicts multiple words simultaneously, employs smart memory techniques to summarize key points, and is trained on diverse data, including English and Chinese. These features make it particularly adept in coding, mathematics, and reasoning tasks, positioning it as a strong competitor in the LLM landscape.
DeepSeek is a pioneering open-source language model that utilizes a unique architecture unlike traditional models, ensuring it is faster, cheaper, and more efficient.
By activating only a portion of its 671 billion parameters per token, DeepSeek achieves remarkable efficiency, utilizing its resources intelligently and facilitating rapid processing.
In contrast to ChatGPT’s sequential prediction of words, DeepSeek's ability to predict multiple words at once enhances its performance in language tasks, making it a formidable competitor.
Incorporating specialized memory tricks for summarization allows DeepSeek to retain essential information while maintaining focus, setting it apart from models like ChatGPT.
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