How Planview built a scalable AI Assistant for portfolio and project management using Amazon Bedrock
This post is co-written with Lee Rehwinkel from Planview. Businesses today face […]
Read moreCategory: Machine learning
Create a generative AI-based application builder assistant using Amazon Bedrock Agents
In this post, we set up an agent using Amazon Bedrock Agents […]
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Enhance your Amazon Redshift cloud data warehouse with easier, simpler, and faster machine learning using Amazon SageMaker Canvas
Machine learning (ML) helps organizations to increase revenue, drive business growth, and […]
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From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 1
The AWS Generative AI Innovation Center (GenAIIC) is a team of AWS […]
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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 […]
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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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