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One such example is retrieval augmented generation, known as RAG.
CTO at STX Next.
What is RAG?
That’s exactly what RAG does, serving as a behind-the-scenesAIhero.
Here are some examples of areas where RAG can be deployed to improve performance.
This leads to fewer disruptions and more trust in the stability of the energy supply.
Better wind farm efficiency
Wind farm operations can be optimized through the deployment of RAG.
Automated compliance
The energy sector is heavily regulated, with policies that change frequently.
Weve all seen the hype surrounding LLMs likeChatGPTfromOpenAIwhich, in general, work well.
But every business has its own characteristics and environment, with its own documents, procedures, and specifications.
Therefore, its extremely hard to apply LLMs in businesses effectively, but RAG can help in this respect.
RAG promises to play a significant part in this transition.
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