Transform customer engagement with no-code LLM fine-tuning using Amazon SageMaker Canvas and SageMaker JumpStart
Fine-tuning large language models (LLMs) creates tailored customer experiences that align with […]
Read moreCategory: Machine learning
Establishing an AI/ML center of excellence
The rapid advancements in artificial intelligence and machine learning (AI/ML) have made […]
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Unleashing the power of generative AI: Verisk’s journey to an Instant Insight Engine for enhanced customer support
This post is co-written with Tom Famularo, Abhay Shah and Nicolette Kontor […]
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How LotteON built dynamic A/B testing for their personalized recommendation system
This post is co-written with HyeKyung Yang, Jieun Lim, and SeungBum Shim […]
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Build a Hugging Face text classification model in Amazon SageMaker JumpStart
Amazon SageMaker JumpStart provides a suite of built-in algorithms, pre-trained models, and […]
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Amazon SageMaker now integrates with Amazon DataZone to streamline machine learning governance
Amazon SageMaker is a fully managed machine learning (ML) service that provides […]
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How Dialog Axiata used Amazon SageMaker to scale ML models in production with AI Factory and reduced customer churn within 3 months
The telecommunications industry is more competitive than ever before. With customers able […]
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How Veritone uses Amazon Bedrock, Amazon Rekognition, Amazon Transcribe, and information retrieval to update their video search pipeline
This post is co-written with Tim Camara, Senior Product Manager at Veritone. […]
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Boost employee productivity with automated meeting summaries using Amazon Transcribe, Amazon SageMaker, and LLMs from Hugging Face
The prevalence of virtual business meetings in the corporate world, largely accelerated […]
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Information extraction with LLMs using Amazon SageMaker JumpStart
Large language models (LLMs) have unlocked new possibilities for extracting information from […]
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