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Explore the treasure of AI deep thinking, DeepSeek helps you unlock the door to wisdom!
Core content:
1. The difference and advantages of DeepSeek and common AI tools
2. Master the skills of using DeepSeek and improve your deep thinking ability
3. Learning resources and training to help you become a leader in the field of AI
Yang Fangxian
Founder of 53AI/Most Valuable Expert of Tencent Cloud (TVP)
As AI technology develops rapidly, DeepSeek, as a powerful AI tool, is bringing unprecedented convenience to our work and life with its unique functions and advantages. Today, let us explore the usage skills of DeepSeek, unlock the secrets of AI deep thinking, and start a journey of deep exploration of AI.
1. Comparison of DeepSeek and other AI tools
1. Differences from the directive model
DeepSeek's R1 model is significantly different from traditional instruction-based models (such as KIMI, Doubao, etc.). Instruction-based models are better at giving direct answers, while the R1 model focuses more on the reasoning process. For example, when dealing with a question like "How to make a delicious chocolate cake", the instruction-based model may directly give a simple recipe, while the R1 model will conduct in-depth analysis and reasoning from multiple angles such as the selection of raw materials, detailed instructions for the production steps, and control of baking temperature and time, providing users with more detailed and practical solutions.
2. Comparison with other inference modelsCompared with other reasoning models (such as the RE model), DeepSeek's R1 model performs better in deep thinking and multi-angle analysis. Although the RE model can also understand the meaning behind the sentence, conduct multi-angle analysis and deep deduction, when dealing with complex problems, the reasoning process of the R1 model is clearer and can better inspire users. For example, when generating a travel guide, the R1 model will consider more factors, such as weather, attractions, snacks, accommodation, etc., rather than just a probabilistic combination.
2. Tips for using DeepSeek
1. Use of prompt words
When using DeepSeek, the writing of prompt words is crucial. But unlike traditional language models, DeepSeek's reasoning model is less dependent on prompt words. Therefore, we do not need to write particularly long prompt words, but to express our needs concisely and clearly. At the same time, forget the professional prompt words that you have hoarded in the past, because they may limit DeepSeek's reasoning process. For example, if you want DeepSeek to generate an article for you about "the application of artificial intelligence in the medical field", you only need to simply enter "the application of artificial intelligence in the medical field" without adding too many modifiers or complex instructions.
2. Processing large texts
DeepSeek can handle large text, but you need to pay attention to the input limit. If it exceeds the limit, only part of the text will be recognized.
(III) Using Thinking Chains to Overcome Output Limitations
You can let R1 generate the outline first, and then obtain more content through serial number and keyword questions . If a single output is not completed, you can use the "Continue" function to complete the generation of subsequent content.