Training Azerbaijani language models on Amazon SageMaker AI
Quick Take
Azercell Telecom LLC has developed an Azerbaijani large language model on Amazon SageMaker AI, addressing the challenges of limited training data and the morphological richness of the language. This six-week collaboration with the AWS Generative AI Innovation Center resulted in a production-ready framework for telecom applications and customer-facing chatbots.
Key Points
- Azercell aimed to create a language model for telecom use cases and chatbots.
- The project faced challenges due to limited training data in Azerbaijani.
- Collaboration with AWS Generative AI Innovation Center lasted six weeks.
- A production-ready framework was established on Amazon SageMaker AI.
Article Excerpt
From source RSS / original summaryAzercell Telecom LLC, Azerbaijan's leading telecommunications provider, wanted to build an Azerbaijani large language model (LLM) on Amazon SageMaker AI for telecom use cases and a customer-facing chatbot. The challenge: adapting foundation models (FMs) to a morphologically rich language with limited training data and no existing blueprint for efficient LLM training in Azerbaijani.
In a six-week collaboration, Azercell worked with the AWS Generative AI Innovation Center to establish a production-ready framework on Amazon SageMaker AI.
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