How to GPT: Analysis of hot topics and hot content on the entire network in the past 10 days
In the era of information explosion, the application of artificial intelligence technology, especially GPT (generative pre-training transformation model), has become a hot topic. This article will sort out the popular content on the Internet in the past 10 days and present key data in a structured way to help readers quickly grasp the trends.
1. Classification statistics of hot topics in the past 10 days
| Topic Category | heat index | Typical keywords |
|---|---|---|
| Technology and AI | 95 | GPT-4o, Sora, AI assistant |
| international current affairs | 88 | Russia-Ukraine conflict, situation in the Middle East |
| entertainment star | 85 | A certain celebrity romance and variety show controversy |
| Social and people's livelihood | 80 | Employment pressure, price fluctuations |
2. In-depth analysis of GPT-related hot spots
In the field of technology, the latest developments in GPT technology continue to spark discussions:
| event | time | amount of discussion |
|---|---|---|
| GPT-4o multi-modal release | May 15 | 1.2 million+ |
| AI replaces manual disputes | Continuous hot spots | Daily average of 800,000+ |
| GPT application in education field | May 20 | 650,000+ |
3. How to use GPT to grasp hot spots
1.Real-time monitoring: By combining GPT with search engine API, it can automatically capture and summarize hot spots across the entire network.
2.Trend forecast: Based on historical data training model, predict the topic life cycle.
3.content generation: Quickly generate hot spot analysis reports to improve information processing efficiency.
4. Typical application scenario cases
| Industry | Application method | Efficiency improvement |
|---|---|---|
| new media | Automatically generate hot tweets | 300% |
| E-commerce | Real-time public opinion monitoring | Response time reduced by 70% |
| academic research | Literature hot spot analysis | Data processing time is reduced by 50% |
5. Things to note
1. It is necessary to verify the accuracy of the data generated by GPT to avoid spreading wrong information.
2. Pay attention to the boundaries of intellectual property and privacy protection.
3. Combine with manual review to ensure content quality.
By using GPT technology in a structured manner, we can capture and process hot information more efficiently. But we need to remember that technology is a tool, and the key still lies in the judgment and creativity of the user.
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