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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

Amazon Bedrock provides a broad range of models from Amazon and third-party providers, including Anthropic, AI21, Meta, Cohere, and Stability AI, and covers a wide range of use cases, including text and image generation, embedding, chat, high-level agents with reasoning and orchestration, and more. Knowledge Bases for Amazon Bedrock allows you to build performant and …

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Unlock personalized experiences powered by AI using Amazon Personalize and Amazon OpenSearch Service

Unlock personalized experiences powered by AI using Amazon Personalize and Amazon OpenSearch Service

OpenSearch is a scalable, flexible, and extensible open source software suite for search, analytics, security monitoring, and observability applications, licensed under the Apache 2.0 license. Amazon OpenSearch Service is a fully managed service that makes it straightforward to deploy, scale, and operate OpenSearch in the AWS Cloud. OpenSearch uses a probabilistic ranking framework called BM-25 …

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Automate Amazon SageMaker Pipelines DAG creation

Automate Amazon SageMaker Pipelines DAG creation

Creating scalable and efficient machine learning (ML) pipelines is crucial for streamlining the development, deployment, and management of ML models. In this post, we present a framework for automating the creation of a directed acyclic graph (DAG) for Amazon SageMaker Pipelines based on simple configuration files. The framework code and examples presented here only cover …

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Accelerating large-scale neural network training on CPUs with ThirdAI and AWS Graviton

Accelerating large-scale neural network training on CPUs with ThirdAI and AWS Graviton

This guest post is written by Vihan Lakshman, Tharun Medini, and Anshumali Shrivastava from ThirdAI. Large-scale deep learning has recently produced revolutionary advances in a vast array of fields. Although this stunning progress in artificial intelligence remains remarkable, the financial costs and energy consumption required to train these models has emerged as a critical bottleneck …

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Supercharge your AI team with Amazon SageMaker Studio: A comprehensive view of Deutsche Bahn’s AI platform transformation

Supercharge your AI team with Amazon SageMaker Studio: A comprehensive view of Deutsche Bahn’s AI platform transformation

AI’s growing influence in large organizations brings crucial challenges in managing AI platforms. These include developing a scalable and operationally efficient platform that adheres to organizational compliance and security standards. Amazon SageMaker Studio offers a comprehensive set of capabilities for machine learning (ML) practitioners and data scientists. These include a fully managed AI development environment …

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Build a robust text-to-SQL solution generating complex queries, self-correcting, and querying diverse data sources

Build a robust text-to-SQL solution generating complex queries, self-correcting, and querying diverse data sources

Structured Query Language (SQL) is a complex language that requires an understanding of databases and metadata. Today, generative AI can enable people without SQL knowledge. This generative AI task is called text-to-SQL, which generates SQL queries from natural language processing (NLP) and converts text into semantically correct SQL. The solution in this post aims to …

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How Axfood enables accelerated machine learning throughout the organization using Amazon SageMaker

How Axfood enables accelerated machine learning throughout the organization using Amazon SageMaker

This is a guest post written by Axfood AB.  In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts and using Amazon SageMaker. Axfood is Sweden’s second largest food retailer, …

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Techniques and approaches for monitoring large language models on AWS

Techniques and approaches for monitoring large language models on AWS

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis. However, as these models continue to grow in size and complexity, monitoring their performance and behavior has become increasingly challenging. Monitoring the performance and behavior of LLMs is a critical task …

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Modernizing and monetizing telecom networks with AI-powered Azure for Operators

Modernizing and monetizing telecom networks with AI-powered Azure for Operators

In this article Modernize networks with a hybrid carrier-grade platform and AI-powered automation and insightsAI-enabled insights for operatorsModern mobile packet coreSecurity and compliance for telecom workloadsMonetize 5G investments and enhance customer experiences with modern connected applicationsAnnouncing Azure Operator Call Protection in public previewExpanding partner ecosystem for modern connected applicationsGet started todayInvitation to operators, system integrators, …

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