How Rocket Companies modernized their data science solution on AWS
This post was written with Dian Xu and Joel Hawkins of Rocket […]
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LLM continuous self-instruct fine-tuning framework powered by a compound AI system on Amazon SageMaker
Fine-tuning a pre-trained large language model (LLM) allows users to customize the […]
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Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases
Large language models (LLMs) excel at generating human-like text but face a […]
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Orchestrate an intelligent document processing workflow using tools in Amazon Bedrock
Generative AI is revolutionizing enterprise automation, enabling AI systems to understand context, […]
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AWS and DXC collaborate to deliver customizable, near real-time voice-to-voice translation capabilities for Amazon Connect
Providing effective multilingual customer support in global businesses presents significant operational challenges. […]
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Maximize your file server data’s potential by using Amazon Q Business on Amazon FSx for Windows
Organizations need efficient ways to access and analyze their enterprise data. Amazon […]
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Generate synthetic counterparty (CR) risk data with generative AI using Amazon Bedrock LLMs and RAG
Data is the lifeblood of modern applications, driving everything from application testing […]
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Turbocharging premium audit capabilities with the power of generative AI: Verisk’s journey toward a sophisticated conversational chat platform to enhance customer support
This post is co-written with Sajin Jacob, Jerry Chen, Siddarth Mohanram, Luis […]
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Best practices for Amazon SageMaker HyperPod task governance
At AWS re:Invent 2024, we launched a new innovation in Amazon SageMaker […]
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Build verifiable explainability into financial services workflows with Automated Reasoning checks for Amazon Bedrock Guardrails
Foundational models (FMs) and generative AI are transforming how financial service institutions […]
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