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London, July 18(Ians) A team of researchers from China and the Netherlands has successfully developed an innovative solution using Gpt-4 to automate data for building energy management.
Gpt-4, OpenAI’s generative large language model, has previously demonstrated remarkable human-level performance in various real-world scenarios such as coding, writing, and image generation.
However, its ability to analyse building operational data using data mining tools at a comparable human-level performance remains uncertain.
The building sector is a significant contributor to global energy consumption, accounting for approximately 33 per cent of the world’s final energy usage.
While data mining technologies can save approximately 15-30 per cent of the energy consumed in buildings, their practical application has been limited due to its labour-intensive nature, resulting in a scarcity of real-world use cases.
The team from Eindhoven University of Technology in the Netherlands and Zhejiang University in China, successfully showcased Gpt-4’s capability to generate...
Gpt-4, OpenAI’s generative large language model, has previously demonstrated remarkable human-level performance in various real-world scenarios such as coding, writing, and image generation.
However, its ability to analyse building operational data using data mining tools at a comparable human-level performance remains uncertain.
The building sector is a significant contributor to global energy consumption, accounting for approximately 33 per cent of the world’s final energy usage.
While data mining technologies can save approximately 15-30 per cent of the energy consumed in buildings, their practical application has been limited due to its labour-intensive nature, resulting in a scarcity of real-world use cases.
The team from Eindhoven University of Technology in the Netherlands and Zhejiang University in China, successfully showcased Gpt-4’s capability to generate...
- 7/18/2023
- by Agency News Desk
- GlamSham
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