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  • Building an AIOps chatbot with Amazon Q Business custom plugins
    by Upendra V on April 11, 2025 at 17:50

    In this post, we demonstrate how you can use custom plugins for Amazon Q Business to build a chatbot that can interact with multiple APIs using natural language prompts. We showcase how to build an AIOps chatbot that enables users to interact with their AWS infrastructure through natural language queries and commands. The chatbot is capable of handling tasks such as querying the data about Amazon Elastic Compute Cloud (Amazon EC2) ports and Amazon Simple Storage Service (Amazon S3) buckets access settings.

  • How TransPerfect Improved Translation Quality and Efficiency Using Amazon Bedrock
    by Peter Chung on April 11, 2025 at 17:25

    This post describes how the AWS Customer Channel Technology – Localization Team worked with TransPerfect to integrate Amazon Bedrock into the GlobalLink translation management system, a cloud-based solution designed to help organizations manage their multilingual content and translation workflows. Organizations use TransPerfect’s solution to rapidly create and deploy content at scale in multiple languages using AI.

  • Racing beyond DeepRacer: Debut of the AWS LLM League
    by Vincent Oh on April 11, 2025 at 17:16

    The AWS LLM League was designed to lower the barriers to entry in generative AI model customization by providing an experience where participants, regardless of their prior data science experience, could engage in fine-tuning LLMs. Using Amazon SageMaker JumpStart, attendees were guided through the process of customizing LLMs to address real business challenges adaptable to their domain.

  • Reduce ML training costs with Amazon SageMaker HyperPod
    by Anoop Saha on April 10, 2025 at 20:11

    In this post, we explore the challenges of large-scale frontier model training, focusing on hardware failures and the benefits of Amazon SageMaker HyperPod – a solution that minimizes disruptions, enhances efficiency, and reduces training costs.

  • Model customization, RAG, or both: A case study with Amazon Nova
    by Flora Wang on April 10, 2025 at 16:50

    The introduction of Amazon Nova models represent a significant advancement in the field of AI, offering new opportunities for large language model (LLM) optimization. In this post, we demonstrate how to effectively perform model customization and RAG with Amazon Nova models as a baseline. We conducted a comprehensive comparison study between model customization and RAG using the latest Amazon Nova models, and share these valuable insights.

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