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Gansu Electric Power Investment Group Releases 'Zijin Yuneng', China's First Provincial-Level AI Large Model

Published: Updated: By 24TopNews Editorial Desk

On July 28, Gansu Electric Power Investment Group launched 'Zijin Yuneng', the first provincial-level AI large model for the power industry in China. The model supports fine-tuning and high-performance inference with hundreds of billions of parameters, is compatible with multiple mainstream multimodal models, and provides a one-stop toolchain covering data preprocessing, model training, and inference optimization. It aims to integrate AI resources and facilitate collaborative development across the energy power sector.

On July 28, Gansu Electric Power Investment Group held a conference in Lanzhou to release its 'Artificial Intelligence + Power' innovation application and the 'Zijin Yuneng' large model, officially launching the model.

'Zijin Yuneng' is the first provincial-level AI large model for the power industry in China. It can support fine-tuning and high-performance inference with a parameter scale of hundreds of billions, and is compatible with multiple mainstream multimodal large models. The model comes with a one-stop toolchain covering data preprocessing, model training, and inference optimization, connecting the entire process from research and development to deployment and application. This provides support for the energy power industry to integrate AI resources and carry out collaborative development.

24TOPNEWS IMPACT INTELLIGENCE

Why this event matters

The event has a measured impact on 2 industrys. The strongest current signal is positive for Power Equipment, with intensity 60/100 and 70% confidence over a medium term horizon.

Energy · 1.12

Power Equipment

Direction
positive
Intensity
60
Confidence
70%
Horizon
Medium term
Effective impact +25
Technology · 10.4

Artificial Intelligence

Direction
positive
Intensity
50
Confidence
65%
Horizon
Medium term
Effective impact +20

Impact figures are analytical estimates that combine direction, intensity, confidence and event importance. They are not investment advice.