CCTV News: Recently, the usage of DeepSeek has risen sharply, and it has become the application that has achieved 30 million daily active users the fastest so far. According to the Ministry of Industry and Information Technology, the three major telecom operators in China have fully integrated DeepSeek into their systems. But what exactly can DeepSeek do after its integration?
For instance, when connected to video conferencing systems, DeepSeek can automatically generate meeting minutes, including participants' speeches and PPT content, and summarize them into clear and structured briefs.
Experts point out that telecom operators, leveraging their robust network infrastructure and vast user data, can fully explore the potential of DeepSeek's large model. This integration will provide users with richer intelligent application scenarios and drive the intelligent transformation of the entire communication industry.
Beyond telecom operators, terminal manufacturers such as smartphone and PC companies are also actively embracing DeepSeek. Some local governments have begun deploying DeepSeek in their administrative systems.
A technician from an Android smartphone manufacturer equipped with DeepSeek explained that, in addition to significantly improving AI task processing efficiency, the integration of DeepSeek will bring users more intelligent interactive experiences, such as deep thinking and personalized services.
Industry insiders note that DeepSeek's open-source model has substantially lowered the barrier to entry for artificial intelligence across various sectors. This is expected to lead to explosive growth in related government and enterprise-level applications.
DeepSeek's popularity in the industry stems from its innovative algorithms and high cost-effectiveness. It not only optimizes the use of computing resources but also brings new opportunities for the development of domestic chips, driving the industry toward higher efficiency and greener practices.
Experts highlight that DeepSeek's greatest advantage lies in its high cost-effectiveness. As a super-intelligent "brain," it is not only smart but also economical to use.
DeepSeek has significantly reduced the training costs of large models, meaning that high-end chips and data centers are no longer as essential as before. Will this pose challenges to related industries?
Experts believe that, in the short term, some cloud service providers may face excess computing power due to the lightweight nature of the model. However, in the long run, the widespread adoption of AI applications will push AI computing centers toward a more "efficient and green" direction.
In the era of large models, AI technology has moved from laboratories into daily life, becoming a powerful assistant in both work and personal tasks. How can we fully leverage the potential of large models?
First, it's crucial to ask precise questions to achieve efficient interaction. Communicating with large models is a skill. For example, if you want the model to help you plan a trip, don't just say, "Write me a travel guide." Instead, provide specific details like, "I plan to visit Changsha for five days next month with a budget of 5,000 yuan. I enjoy food and natural scenery. Can you help me plan an itinerary?"
Second, continuous optimization is key. Take translation as an example. The initial translation from a large model might lack fluency. Users can provide feedback to further refine the output. For instance, you could point out, "This sentence doesn't sound natural. Can you rephrase it to be more fluent?"
Lastly, the use of prompts is essential. Prompts are like "spells" that guide the model to produce different outputs. If you want to write a science fiction story, you could use prompts like "interstellar war," "outer space," or "aliens" to create an opening. With detailed prompts, the model can generate more compelling content.
CCTV News: Recently, the usage of DeepSeek has risen sharply, and it has become the application that has achieved 30 million daily active users the fastest so far. According to the Ministry of Industry and Information Technology, the three major telecom operators in China have fully integrated DeepSeek into their systems. But what exactly can DeepSeek do after its integration?
For instance, when connected to video conferencing systems, DeepSeek can automatically generate meeting minutes, including participants' speeches and PPT content, and summarize them into clear and structured briefs.
Experts point out that telecom operators, leveraging their robust network infrastructure and vast user data, can fully explore the potential of DeepSeek's large model. This integration will provide users with richer intelligent application scenarios and drive the intelligent transformation of the entire communication industry.
Beyond telecom operators, terminal manufacturers such as smartphone and PC companies are also actively embracing DeepSeek. Some local governments have begun deploying DeepSeek in their administrative systems.
A technician from an Android smartphone manufacturer equipped with DeepSeek explained that, in addition to significantly improving AI task processing efficiency, the integration of DeepSeek will bring users more intelligent interactive experiences, such as deep thinking and personalized services.
Industry insiders note that DeepSeek's open-source model has substantially lowered the barrier to entry for artificial intelligence across various sectors. This is expected to lead to explosive growth in related government and enterprise-level applications.
DeepSeek's popularity in the industry stems from its innovative algorithms and high cost-effectiveness. It not only optimizes the use of computing resources but also brings new opportunities for the development of domestic chips, driving the industry toward higher efficiency and greener practices.
Experts highlight that DeepSeek's greatest advantage lies in its high cost-effectiveness. As a super-intelligent "brain," it is not only smart but also economical to use.
DeepSeek has significantly reduced the training costs of large models, meaning that high-end chips and data centers are no longer as essential as before. Will this pose challenges to related industries?
Experts believe that, in the short term, some cloud service providers may face excess computing power due to the lightweight nature of the model. However, in the long run, the widespread adoption of AI applications will push AI computing centers toward a more "efficient and green" direction.
In the era of large models, AI technology has moved from laboratories into daily life, becoming a powerful assistant in both work and personal tasks. How can we fully leverage the potential of large models?
First, it's crucial to ask precise questions to achieve efficient interaction. Communicating with large models is a skill. For example, if you want the model to help you plan a trip, don't just say, "Write me a travel guide." Instead, provide specific details like, "I plan to visit Changsha for five days next month with a budget of 5,000 yuan. I enjoy food and natural scenery. Can you help me plan an itinerary?"
Second, continuous optimization is key. Take translation as an example. The initial translation from a large model might lack fluency. Users can provide feedback to further refine the output. For instance, you could point out, "This sentence doesn't sound natural. Can you rephrase it to be more fluent?"
Lastly, the use of prompts is essential. Prompts are like "spells" that guide the model to produce different outputs. If you want to write a science fiction story, you could use prompts like "interstellar war," "outer space," or "aliens" to create an opening. With detailed prompts, the model can generate more compelling content.