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![AINativeF Avatar](https://lunarcrush.com/gi/w:24/cr:twitter::1795402815298486272.png) AI Native Foundation [@AINativeF](/creator/twitter/AINativeF) on x 1913 followers
Created: 2025-07-22 00:51:36 UTC

X. RedOne: Revealing Domain-specific LLM Post-Training in Social Networking Services

🔑 Keywords: RedOne, domain-specific LLM, SNS tasks, training strategy

💡 Category: Natural Language Processing

🌟 Research Objective:
   - The objective of the research is to enhance performance in social networking services (SNS) tasks using RedOne, a domain-specific large language model designed to improve generalization and reduce harmful content exposure.

🛠️ Research Methods:
   - The study employs a three-stage training strategy: continue pretraining, supervised fine-tuning, and preference optimization, leveraging a large-scale real-world dataset.

💬 Research Conclusions:
   - RedOne demonstrates a strong generalization across various SNS tasks, with an average improvement of up to XXXXX% across major tasks and XXXX% in a bilingual evaluation benchmark compared to base models. Additionally, online testing shows a reduction in harmful content detection exposure by XXXXX% and an improvement in click page rate by 14.95%.

👉 Paper link:

![](https://pbs.twimg.com/media/GwbEExTbEAAWwQw.jpg)

XX engagements

![Engagements Line Chart](https://lunarcrush.com/gi/w:600/p:tweet::1947459477739114944/c:line.svg)

**Related Topics**
[sns](/topic/sns)
[llm](/topic/llm)
[coins ai](/topic/coins-ai)

[Post Link](https://x.com/AINativeF/status/1947459477739114944)

[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]

AINativeF Avatar AI Native Foundation @AINativeF on x 1913 followers Created: 2025-07-22 00:51:36 UTC

X. RedOne: Revealing Domain-specific LLM Post-Training in Social Networking Services

🔑 Keywords: RedOne, domain-specific LLM, SNS tasks, training strategy

💡 Category: Natural Language Processing

🌟 Research Objective:

  • The objective of the research is to enhance performance in social networking services (SNS) tasks using RedOne, a domain-specific large language model designed to improve generalization and reduce harmful content exposure.

🛠️ Research Methods:

  • The study employs a three-stage training strategy: continue pretraining, supervised fine-tuning, and preference optimization, leveraging a large-scale real-world dataset.

💬 Research Conclusions:

  • RedOne demonstrates a strong generalization across various SNS tasks, with an average improvement of up to XXXXX% across major tasks and XXXX% in a bilingual evaluation benchmark compared to base models. Additionally, online testing shows a reduction in harmful content detection exposure by XXXXX% and an improvement in click page rate by 14.95%.

👉 Paper link:

XX engagements

Engagements Line Chart

Related Topics sns llm coins ai

Post Link

post/tweet::1947459477739114944
/post/tweet::1947459477739114944