Accelerating Code Conversion with Amazon SageMaker and IBM Granite Code models
IBM and Red Hat Blog
This article discusses how to accelerate legacy code conversion and modernization using Amazon SageMaker and IBM Granite Code models.
Specifically, the article covers:
- What are IBM Granite Code models: A family of large language models pre-trained on over 3 trillion tokens of code and natural language data across 116 programming languages, with robust data governance and intellectual property indemnification.
- What is Amazon SageMaker: A fully-managed machine learning service that provides tools for building, training, and deploying machine learning models.
- Code generation and conversion use cases: A step-by-step guide on deploying the Granite-20B-Code-Instruct-8K model on SageMaker and using it for converting code from C to Java.
- Conclusion: The combination of powerful language models like IBM Granite and cloud platforms like SageMaker is a game-changer for accelerating legacy modernization and cloud migration initiatives.
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