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Fine-Tuning Meta Llama 2, Cohere Command Light, and Amazon Titan FMs in Amazon Bedrock

Introduction¶ Fine-tuning is an essential process for organizations with small, labeled datasets that want to specialize a model for a specific task. It allows for the adaptation of a model’s parameters, refining its knowledge and capabilities to make decisions within an organization’s context. In this guide, we will focus on the fine-tuning capabilities of three …

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Introduction to Amazon Q

Amazon Web Services (AWS) recently announced the preview of Amazon Q, a cutting-edge service that aims to revolutionize the way enterprises interact with their data. With over 40 built-in connectors to popular enterprise systems, Amazon Q offers a seamless, secure, and efficient solution for accessing and analyzing a vast range of data sources. In this …

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A Comprehensive Guide to Incremental Refresh for Materialized Views on data lake tables in Amazon Redshift

Introduction¶ Amazon Redshift, a fully-managed data warehousing service, has introduced an exciting new feature called incremental refresh for materialized views on data lake tables. Materialized views in Redshift serve as a valuable method to enhance query performance on large tables, particularly those involving aggregations and multi-table joins. With the addition of incremental refresh support, Redshift …

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Complete Guide to AWS HealthScribe

AWS HealthScribe is now available for general use, revolutionizing the way clinical notes are generated from consultation audio. With just a single API, AWS HealthScribe enables automatic generation of preliminary clinical notes for key sections of patient conversations. This guide will walk you through the various features and functionality of AWS HealthScribe, while also focusing …

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The Ultimate Guide to Amazon Redshift Serverless with AI-driven Scaling and Optimizations

Table of Contents Introduction Understanding Amazon Redshift Serverless AI-driven Scaling and Optimizations 3.1 Workload pattern learning 3.2 Tailored performance optimizations 3.3 Automatic capacity adjustments AI-enhanced Optimizations and Forecasting 4.1 Automatic materialized views 4.2 ML-enhanced sorting technique Setting Price-Performance Targets 5.1 The concept of price-performance slider 5.2 Optimizing cost with workload requirements Technical Considerations for SEO …

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Introduction

In today’s fast-paced and ever-changing digital landscape, it is imperative to have robust backup and restore mechanisms in place. AWS Backup is a powerful service offered by Amazon Web Services (AWS) that enables you to efficiently create, manage, and automate your backups across various AWS services. With the recent launch of support for restore testing, …

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Announcing Enhanced Capabilities for Partner-Led Support

Introduction¶ In an effort to provide partners with the tools and resources they need to accelerate customer issue resolution, AWS is excited to announce enhanced capabilities for Partner-Led Support. This release gives partners secure access to several diagnostic tools previously only available to AWS Support. With the added benefits of ongoing training, collaboration with AWS …

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Announcing Amazon Aurora Limitless Database

Introduction¶ In the world of relational databases, scaling workloads has always been a challenge. Traditional databases often require custom solutions or the management of multiple databases to handle increasing workloads efficiently. However, Amazon Aurora Limitless Database changes the game with its innovative serverless endpoint that automatically distributes data and queries across multiple Amazon Aurora Serverless …

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Announcing AWS B2B Data Interchange

Introduction¶ In today’s highly connected business landscape, efficient and seamless data interchange between organizations is essential. AWS B2B Data Interchange offers a robust solution for onboarding, managing, and monitoring your entire network of trading partner relationships. This centralized dashboard allows you to streamline communication mechanisms and automate data transformations, leading to improved efficiency and meaningful …

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New updates automatically accelerate Amazon S3 data transfer for ML training

In recent years, machine learning (ML) has become increasingly popular across various industries. With the ability to analyze and interpret massive amounts of data, ML has revolutionized the way businesses approach problem-solving and decision-making. However, one of the biggest challenges faced by ML practitioners is managing and processing these large datasets efficiently. Amazon Simple Storage …

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