DeepSeek is a leader among AI large models, with continuous breakthroughs and innovations leading the new direction of artificial intelligence development.
This article presents the essence of the technology in a PPT-style format, deeply unveiling the core technologies of DeepSeek. It first summarizes the characteristics of DeepSeek, including content tokenization, the need to process text before training, the existence of endtime, lack of self-awareness, limited context length, and limited memory. Next, it introduces the development history of DeepSeek, its core technology architecture, innovations, application scenarios, and future development trends. DeepSeek has achieved low-cost training and high-performance inference through architectural improvements, data filtering, domain fine-tuning, open-source ecology, and community-driven innovation, promoting the democratization of AI technology and its industry implementation. Finally, it offers suggestions for efficient use of DeepSeek to help users better leverage this powerful AI tool.
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