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GenAI News
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Clario enhances the quality of the clinical trial documentation process with...

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This post is co-written with Kim Nguyen and Shyam Banuprakash from Clario. Clario is a leading provider of endpoint data solutions to the clinical trials...

Elevate business productivity with Amazon Q and Amazon Connect

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Modern banking faces dual challenges: delivering rapid loan processing while maintaining robust security against sophisticated fraud. Amazon Q Business provides AI-driven analysis of regulatory...

Dynamic text-to-SQL for enterprise workloads with Amazon Bedrock Agents

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Generative AI enables us to accomplish more in less time. Text-to-SQL empowers people to explore data and draw insights using natural language, without requiring...

Build multi-agent systems with LangGraph and Amazon Bedrock

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Large language models (LLMs) have raised the bar for human-computer interaction where the expectation from users is that they can communicate with their applications...

Building an AIOps chatbot with Amazon Q Business custom plugins

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Many organizations rely on multiple third-party applications and services for different aspects of their operations, such as scheduling, HR management, financial data, customer relationship...

Racing beyond DeepRacer: Debut of the AWS LLM League

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The AWS DeepRacer League is the world’s first autonomous racing league, open to anyone. Announced at re:Invent 2018, it puts machine learning in the...

How TransPerfect Improved Translation Quality and Efficiency Using Amazon Bedrock

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This post is co-written with Keith Brazil, Julien Didier, and Bryan Rand from TransPerfect. TransPerfect, a global leader in language and technology solutions, serves a...

Reduce ML training costs with Amazon SageMaker HyperPod

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Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for several weeks or months...

Model customization, RAG, or both: A case study with Amazon Nova

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As businesses and developers increasingly seek to optimize their language models for specific tasks, the decision between model customization and Retrieval Augmented Generation (RAG)...

Automating regulatory compliance: A multi-agent solution using Amazon Bedrock and CrewAI

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Financial institutions today face an increasingly complex regulatory world that demands robust, efficient compliance mechanisms. Although organizations traditionally invest countless hours reviewing regulations such...