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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 1917 followers
Created: 2025-07-22 00:51:42 UTC

XX. The Generative Energy Arena (GEA): Incorporating Energy Awareness in Large Language Model (LLM) Human Evaluations

🔑 Keywords: energy consumption, energy-efficient, large language models, scalability issues, human evaluation

💡 Category: Natural Language Processing

🌟 Research Objective:
   - To evaluate how energy awareness influences the decisions of humans in selecting language models, especially in terms of energy consumption.

🛠️ Research Methods:
   - Introduction of GEA (Generative Energy Arena) as a public platform where users can evaluate language models based on energy consumption data and rank their performance.

💬 Research Conclusions:
   - Preliminary results indicate that users tend to prefer smaller, more energy-efficient language models over larger and more complex models when they are aware of energy consumption impacts.

👉 Paper link:

![](https://pbs.twimg.com/media/GwbEGVfagAAPMB7.png)

XX engagements

![Engagements Line Chart](https://lunarcrush.com/gi/w:600/p:tweet::1947459504133877896/c:line.svg)

**Related Topics**
[scalability](/topic/scalability)
[llm](/topic/llm)
[arena](/topic/arena)
[coins energy](/topic/coins-energy)
[generative](/topic/generative)
[coins ai](/topic/coins-ai)

[Post Link](https://x.com/AINativeF/status/1947459504133877896)

[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 1917 followers Created: 2025-07-22 00:51:42 UTC

XX. The Generative Energy Arena (GEA): Incorporating Energy Awareness in Large Language Model (LLM) Human Evaluations

🔑 Keywords: energy consumption, energy-efficient, large language models, scalability issues, human evaluation

💡 Category: Natural Language Processing

🌟 Research Objective:

  • To evaluate how energy awareness influences the decisions of humans in selecting language models, especially in terms of energy consumption.

🛠️ Research Methods:

  • Introduction of GEA (Generative Energy Arena) as a public platform where users can evaluate language models based on energy consumption data and rank their performance.

💬 Research Conclusions:

  • Preliminary results indicate that users tend to prefer smaller, more energy-efficient language models over larger and more complex models when they are aware of energy consumption impacts.

👉 Paper link:

XX engagements

Engagements Line Chart

Related Topics scalability llm arena coins energy generative coins ai

Post Link

post/tweet::1947459504133877896
/post/tweet::1947459504133877896