Comparison between DeepSeek and ChatGPT:

1. Performance and cost:
DeepSeek uses a large language model architecture and employs the 'time inference calculation' technique, activating only the most relevant parts in the system to answer each query, which helps reduce computing resources and operational costs.
OpenAI's ChatGPT requires more powerful computing infrastructure, resulting in higher development and operation costs.
2. Processing Capability and Functionality:
DeepSeek performs well in solving basic tasks, such as solving physics problems and providing pleasant feedback. However, it encounters difficulties in handling real-time information queries and big data.
ChatGPT provides comprehensive and maintaining responsive integrity answers, suitable for fair and direct inquiries.
3. Review content:
DeepSeek complies with China's censorship regulations, resulting in the blocking of responses related to politically sensitive topics.
ChatGPT's review process is less strict, allowing for a wider range of topic discussions.
4. Source Code and Customizability:
DeepSeek is an open-source large-scale language model that allows other companies to use and customize it in their products and obtain contributions from the community.
ChatGPT is OpenAI's exclusive product with restricted access and customization rights.
Conclusion:
DeepSeek stands out with low operating costs, high customizability, and good performance in basic tasks. However, it is limited by content censorship and complex query processing capabilities. In contrast, ChatGPT offers more comprehensive responses and is subject to fewer censorship restrictions, but comes with higher costs and less customizability. The choice between these two models depends on the specific needs of the user and their prioritization of cost, functionality, and freedom of speech.
To gain a more intuitive understanding of the differences between DeepSeek and ChatGPT, you can refer to the following video:
#Deepseek Goes Viral