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SK Telecom improves telco-specific Q&A by fine-tuning Anthropic’s Claude models in Amazon Bedrock

Machine Learning Blog



This article discusses how SK Telecom (SKT), a leading telecommunications company in South Korea, collaborated with AWS Generative AI Innovation Center (GenAIIC) to customize Anthropic's Claude models using Amazon Bedrock for telco-specific question answering (Q&A).

Specifically, the article covers:

  • SKT's goal to improve Claude models in providing concise answers, referencing links accurately, and maintaining tone/style consistent with telco industry
  • Using Amazon Bedrock's capabilities like fine-tuning Claude models and integrating with other services
  • Techniques explored: prompt optimization, fine-tuning with SKT's data, and using synthetic data for data augmentation
  • Significant performance improvements achieved through these techniques, including up to 58% increase in ROUGE-3 score
  • Importance of large, high-quality training data or synthetic data when limited original data is available
  • Conclusion highlighting SKT's AI innovation through this customization aligning with their AI strategy


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