Super charge your LLMs with RAG at scale using AWS Glue for Apache Spark
Large language models (LLMs) are very large deep-learning models that are pre-trained […]
Read moreCategory: Machine learning
Transitioning from Amazon Rekognition people pathing: Exploring other alternatives
Amazon Rekognition people pathing is a machine learning (ML)–based capability of Amazon […]
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Next-generation learning experience using Amazon Bedrock and Anthropic’s Claude: Innovation from Classworks
This post is co-written with Jerry Henley, Hans Buchheim and Roy Gunter […]
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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock
This post is cowritten with Greg Benson, Aaron Kesler and David Dellsperger […]
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Create a next generation chat assistant with Amazon Bedrock, Amazon Connect, Amazon Lex, LangChain, and WhatsApp
This post is co-written with Harrison Chase, Erick Friis and Linda Ye […]
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Boost post-call analytics with Amazon Q in QuickSight
In today’s customer-centric business world, providing exceptional customer service is crucial for […]
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Fine-tune a BGE embedding model using synthetic data from Amazon Bedrock
Have you ever faced the challenge of obtaining high-quality data for fine-tuning […]
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Implement Amazon SageMaker domain cross-Region disaster recovery using custom Amazon EFS instances
Amazon SageMaker is a cloud-based machine learning (ML) platform within the AWS […]
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Generative AI foundation model training on Amazon SageMaker
To stay competitive, businesses across industries use foundation models (FMs) to transform […]
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Automate fine-tuning of Llama 3.x models with the new visual designer for Amazon SageMaker Pipelines
You can now create an end-to-end workflow to train, fine tune, evaluate, […]
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