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The Future of .NET Core, Machine Learning, and AI

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  • Jagdip Keshavlal Jadav

Abstract

The integration of Machine Learning and Artificial Intelligence into the .NET Core ecosystem represents a significant advancement in software development capabilities. This comprehensive article examines the evolution of AI integration within .NET, highlighting key developments across multiple domains including ML.NET enhancements, generative AI capabilities, and the introduction of Microsoft.Extensions.AI. The article explores how these advancements have transformed developer workflows, improved performance metrics, and expanded the possibilities for AI-driven applications. Through a detailed examination of implementation patterns, performance improvements, and community engagement, this article demonstrates how the .NET ecosystem has emerged as a robust platform for AI development, supported by Microsoft's comprehensive educational resources and strong community infrastructure.

Suggested Citation

  • Jagdip Keshavlal Jadav, 2024. "The Future of .NET Core, Machine Learning, and AI," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 10(6), pages 2004-2010, November.
    • Handle: RePEc:jbh:ijsrcs:v10:y2024:i6:id:597
    DOI: 10.32628/CSEIT2410612391
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT2410612391
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