Introduction¶ Amazon SageMaker Clarify is a powerful tool that enables customers to evaluate and interpret the performance of their machine learning (ML) models. With the latest update, SageMaker Clarify now supports Foundation Model (FM) evaluations, enhancing the model selection and customization workflow. In this comprehensive guide, we will explore how to leverage FM evaluations, using …

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Guide Version: 1.0.0 Table of Contents¶ Introduction Key Features of AWS Partner CRM Connector Benefits of Utilizing AWS Partner CRM Connector How to Set Up AWS Partner CRM Connector How to Enable AWS Marketplace and ACE Pipeline Manager Features Utilizing Dashboard Feature to View AWS Marketplace Private Offers Summary Streamlining Field Sales Operations in Salesforce …

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Welcome to the Solution Building Enablement for Partners guide! In this comprehensive article, we will provide you with all the information you need to know about this self-serve guidance program, available to all partners at no cost. Whether you are an existing AWS partner or interested in becoming one, this guide will help you understand …

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Introduction¶ Data plays a crucial role in the training of machine learning models. However, not all data is equally important for model training. Amazon SageMaker, a fully managed machine learning service, is introducing a new feature called “Smart Sifting.” Smart sifting allows you to utilize your live model during training to analyze incoming data samples …

Guide to Smart Sifting of Data for Amazon SageMaker Model Training Read More »

Artificial Intelligence (AI) has the potential to revolutionize industries and transform the way we live and work. However, with great power comes great responsibility. As AI becomes increasingly integrated into our daily lives, it is crucial that we ensure its ethical and responsible use. To address these concerns, Amazon Web Services (AWS) is proud to …

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With the ever-growing advancements in Machine Learning (ML), deploying ML models has become an essential part of many businesses. Amazon SageMaker has emerged as a popular platform for deploying and managing ML models easily. In its continuous pursuit of improving user experience and optimizing performance, Amazon SageMaker has recently introduced new inference capabilities. These capabilities …

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Introduction¶ In a recent announcement, AWS introduced OR1 for the Amazon OpenSearch Service. This new feature brings a rearchitected storage system to managed clusters on OpenSearch. By leveraging Amazon S3 and other cloud technologies, OR1 offers increased durability and improved price-performance ratios. In this guide, we will explore the technical details of OR1 and how …

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Introduction¶ Training machine learning models, especially for complex tasks such as financial modeling (FM), can be time-consuming and resource-intensive. Many organizations rely on graphics processing units (GPU) or Trainium-based instances to train their own FMs. While these instances offer cost-efficiency, the increasing complexity of training models, including the larger volumes of data and size of …

Announcing Amazon SageMaker HyperPod Read More »

Anthropic’s Claude 2.1 foundation model is a state-of-the-art AI model that is now available in Amazon Bedrock. This guide article aims to provide a comprehensive overview of Claude 2.1, its key capabilities, and the benefits it offers to enterprises. We will also explore the features of Amazon Bedrock and how it provides an easy and …

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Publication Date: September 2022 In this guide, we will explore the Llama 2 70B model developed by Meta and its availability in Amazon Bedrock. We will delve into the numerous benefits of utilizing this model for generative AI applications, its suitability for large-scale tasks such as language modeling, text generation, and dialogue systems, and how …

The Llama 2 70B Model from Meta: A Comprehensive Guide to Amazon Bedrock Integration Read More »