Analytics Vidhya

DECEMBER 30, 2022

Introduction In machine learning, the data is an essential part of the training of machine learning algorithms. The amount of data and the data quality highly affect the results from the machine learning algorithms. Almost all machine learning algorithms are data dependent, and […].

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IBM Data Science in Practice

MARCH 8, 2023

You can then export the model and deploy it on Amazon Sagemaker on Amazon Web Server (AWS). This article shows how you can use a no-code or all-code approach for training a machine learning model in Watson Studio that you can then deploy on AWS. environment running on IBM Cloud Pak for Data 4.5.x, Run the notebook cells.

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AWS Machine Learning Blog

MARCH 15, 2024

To mitigate these risks, the FL model uses personalized training algorithms and effective masking and parameterization before sharing information with the training coordinator. Therefore, ML creates challenges for AWS customers who need to ensure privacy and security across distributed entities without compromising patient outcomes.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

With the QnABot on AWS (QnABot), integrated with Microsoft Azure Entra ID access controls, Principal launched an intelligent self-service solution rooted in generative AI. Principal also used the AWS open source repository Lex Web UI to build a frontend chat interface with Principal branding.

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AWS Machine Learning Blog

OCTOBER 5, 2023

In this post, we walk through how to fine-tune Llama 2 on AWS Trainium , a purpose-built accelerator for LLM training, to reduce training times and costs. We review the fine-tuning scripts provided by the AWS Neuron SDK (using NeMo Megatron-LM), the various configurations we used, and the throughput results we saw.

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Flipboard

JUNE 20, 2023

There are several ways AWS is enabling ML practitioners to lower the environmental impact of their workloads. Inferentia and Trainium are AWS’s recent addition to its portfolio of purpose-built accelerators specifically designed by Amazon’s Annapurna Labs for ML inference and training workloads. times higher inference throughput.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

The excitement is building for the fourteenth edition of AWS re:Invent, and as always, Las Vegas is set to host this spectacular event. Third, we’ll explore the robust infrastructure services from AWS powering AI innovation, featuring Amazon SageMaker , AWS Trainium , and AWS Inferentia under AI/ML, as well as Compute topics.

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AWS Machine Learning Blog

JANUARY 7, 2025

To address this need, AWS generative AI best practices framework was launched within AWS Audit Manager , enabling auditing and monitoring of generative AI applications. Figure 1 depicts the systems functionalities and AWS services. Select AWS Generative AI Best Practices Framework for assessment. Choose Create assessment.

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AWS Machine Learning Blog

DECEMBER 4, 2023

In this post, we explain how we built an end-to-end product category prediction pipeline to help commercial teams by using Amazon SageMaker and AWS Batch , reducing model training duration by 90%. An important aspect of our strategy has been the use of SageMaker and AWS Batch to refine pre-trained BERT models for seven different languages.

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AWS Machine Learning Blog

NOVEMBER 13, 2024

Prerequisites To implement the proposed solution, make sure that you have the following: An AWS account and a working knowledge of FMs, Amazon Bedrock , Amazon SageMaker , Amazon OpenSearch Service , Amazon S3 , and AWS Identity and Access Management (IAM). Amazon Titan Multimodal Embeddings model access in Amazon Bedrock.

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Data Science Dojo

FEBRUARY 20, 2023

Spark is well suited to applications that involve large volumes of data, real-time computing, model optimization, and deployment. Read about Apache Zeppelin: Magnum Opus of MLOps in detail AWS SageMaker AWS SageMaker is an AI service that allows developers to build, train and manage AI models.

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AWS Machine Learning Blog

NOVEMBER 8, 2023

AWS and NVIDIA have come together to make this vision a reality. AWS, NVIDIA, and other partners build applications and solutions to make healthcare more accessible, affordable, and efficient by accelerating cloud connectivity of enterprise imaging. AHI provides API access to ImageSet metadata and ImageFrames.

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

To help tackle this challenge, Accenture collaborated with AWS to build an innovative generative AI solution called Knowledge Assist. By using AWS generative AI services, the team has developed a system that can ingest and comprehend massive amounts of unstructured enterprise content.

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Flipboard

MARCH 7, 2023

This post presents a solution that uses a workflow and AWS AI and machine learning (ML) services to provide actionable insights based on those transcripts. We use multiple AWS AI/ML services, such as Contact Lens for Amazon Connect and Amazon SageMaker , and utilize a combined architecture.

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AWS Machine Learning Blog

JUNE 26, 2024

In this post, we show how you can automate and intelligently process derivative confirms at scale using AWS AI services. An event notification on S3 object upload completion places a message in an Amazon Simple Queue Service (Amazon SQS) queue to invoke an AWS Lambda function. What is human-in-the-loop?

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IBM Journey to AI blog

OCTOBER 30, 2023

In this quest, IBM and AWS have forged a strategic alliance, aiming to transition AI’s business potential from mere talk to tangible action. The AWS-IBM partnership is a symphony of strengths The collaboration between IBM and AWS is more than just a tactical alliance; it’s a symphony of strengths.

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AWS Machine Learning Blog

MAY 23, 2023

For information about how to use JumpStart models programmatically, see Use SageMaker JumpStart Algorithms with Pretrained Models. In April 2023, AWS unveiled Amazon Bedrock , which provides a way to build generative AI-powered apps via pre-trained models from startups including AI21 Labs , Anthropic , and Stability AI.

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AWS Machine Learning Blog

DECEMBER 9, 2024

It simplifies the often complex and time-consuming tasks involved in setting up and managing an MLflow environment, allowing ML administrators to quickly establish secure and scalable MLflow environments on AWS. AWS CodeArtifact , which provides a private PyPI repository so that SageMaker can use it to download necessary packages.

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Towards AI

NOVEMBER 5, 2023

Source: [link] This article describes a solution for a generative AI resume screener that got us 3rd place at DataRobot & AWS Hackathon 2023. You can also set the environment variables on the notebook instance for things like AWS access key etc. Source: author’s screenshot on AWS We used Anthropic Claude 2 in our solution.

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Dataconomy

SEPTEMBER 25, 2023

Amazon-Anthropic collaboration In the collaborative arrangement with Amazon, Anthropic has chosen AWS to be its chief cloud ally for pivotal tasks, encompassing safety studies and the evolution of upcoming foundational AI models, as articulated by the e-commerce behemoth.

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AWS Machine Learning Blog

OCTOBER 10, 2024

To achieve this, the Rufus team is using multiple AWS services and AWS AI chips, AWS Trainium and AWS Inferentia. Inferentia and Trainium are purpose-built chips developed by AWS that accelerate deep learning workloads with high performance and lower overall costs. With these chips, Rufus reduced its costs by 4.5

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AWS Machine Learning Blog

APRIL 25, 2024

The most common techniques used for extractive summarization are term frequency-inverse document frequency (TF-IDF), sentence scoring, text rank algorithm, and supervised machine learning (ML). Use the evaluation algorithm with either built-in or custom datasets to evaluate your LLM model.

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How to Learn Machine Learning

DECEMBER 24, 2024

If you’re diving into the world of machine learning, AWS Machine Learning provides a robust and accessible platform to turn your data science dreams into reality. Introduction Machine learning can seem overwhelming at first – from choosing the right algorithms to setting up infrastructure. Hey dear reader!

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AWS Machine Learning Blog

DECEMBER 14, 2023

This is a customer post jointly authored by ICL and AWS employees. Building in-house capabilities through AWS Prototyping Building and maintaining ML solutions for business-critical workloads requires sufficiently skilled staff. Before models can be trained, it’s necessary to generate training data.

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AWS Machine Learning Blog

JUNE 25, 2024

Amazon Web Services is excited to announce the launch of the AWS Neuron Monitor container , an innovative tool designed to enhance the monitoring capabilities of AWS Inferentia and AWS Trainium chips on Amazon Elastic Kubernetes Service (Amazon EKS).

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Flipboard

JANUARY 6, 2025

Precise), an Amazon Web Services (AWS) Partner , participated in the AWS Think Big for Small Business Program (TBSB) to expand their AWS capabilities and to grow their business in the public sector. Precise Software Solutions, Inc. The platform helped the agency digitize and process forms, pictures, and other documents.

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AWS Machine Learning Blog

AUGUST 30, 2023

This post demonstrates a strategy for fine-tuning publicly available LLMs for the task of radiology report summarization using AWS services. Our solution uses the FLAN-T5 XL FM, using Amazon SageMaker JumpStart , which is an ML hub offering algorithms, models, and ML solutions.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

Understanding up front which preprocessing techniques and algorithm types provide best results reduces the time to develop, train, and deploy the right model. An AutoML tool applies a combination of different algorithms and various preprocessing techniques to your data. The following diagram presents the overall solution workflow.

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AWS Machine Learning Blog

JUNE 22, 2023

Working with AWS, Light & Wonder recently developed an industry-first secure solution, Light & Wonder Connect (LnW Connect), to stream telemetry and machine health data from roughly half a million electronic gaming machines distributed across its casino customer base globally when LnW Connect reaches its full potential.

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Flipboard

NOVEMBER 21, 2023

In recent years, MathWorks has brought many product offerings into the cloud, especially on Amazon Web Services (AWS). Because we have a model of the system and faults are rare in operation, we can take advantage of simulated data to train our algorithm. Here is a quick guide on how to run MATLAB on AWS.  Either Ubuntu or Linux.

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Dataconomy

OCTOBER 10, 2024

Gone are the days of settling for those awkward, repetitive phrases; you can now edit your lyrics the way you want, without the algorithm dictating your vocabulary. The real strength here is the balance between user control and AI assistance—letting you decide when to lean on the algorithm and when to take the creative reins yourself.

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AWS Machine Learning Blog

MAY 1, 2024

Prerequisites First-time users need an AWS account and AWS Identity and Access Management (IAM) role with SageMaker, Amazon Bedrock, and Amazon Simple Storage Service (Amazon S3) access. For this example, we enter the question, “Who developed the lie-detecting algorithm Fraudoscope?” Human: How does Fraudoscope work?

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Hacker News

NOVEMBER 19, 2024

Here are a few of the things that you might do as an AI Engineer at TigerEye: - Design, develop, and validate statistical models to explain past behavior and to predict future behavior of our customers’ sales teams - Own training, integration, deployment, versioning, and monitoring of ML components - Improve TigerEye’s existing metrics collection and (..)

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Data Science Dojo

SEPTEMBER 30, 2024

While it isn’t embedded directly in IDEs like Copilot, developers can interact with it to ask questions, generate code snippets, explain algorithms, or troubleshoot issues. Amazon Q Developer : How it works : Amazon Q Developer is an AI-powered coding assistant developed by AWS. AWS Lambda, S3, EC2).

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AWS Machine Learning Blog

AUGUST 26, 2024

AWS makes it possible for organizations of all sizes and developers of all skill levels to build and scale generative AI applications with security, privacy, and responsible AI. In this post, we dive into the architecture and implementation details of GenASL, which uses AWS generative AI capabilities to create human-like ASL avatar videos.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

In this post, we demonstrate how to use various AWS technologies to establish a serverless semantic cache system. The solution presented in this post can be deployed through an AWS CloudFormation template. The solution presented in this post can be deployed through an AWS CloudFormation template.

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Dataconomy

JULY 27, 2023

the most sophisticated iteration of its primary text-to-image algorithm. Additionally, it may be found on Amazon SageMaker JumpStart, an ML hub with access to ML solutions, models, and algorithms. Stability AI unveiled SDXL 1.0, It generates graphics with a greater resolution than the 0.9 With Stable Diffusion XL 1.0,

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