AWS Machine Learning Blog

NOVEMBER 19, 2024

At the time, I knew little about AI or machine learning (ML). But AWS DeepRacer instantly captured my interest with its promise that even inexperienced developers could get involved in AI and ML. Panic set in as we realized we would be competing on stage in front of thousands of people while knowing little about ML.

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AWS Machine Learning Blog

DECEMBER 9, 2024

With access to a wide range of generative AI foundation models (FM) and the ability to build and train their own machine learning (ML) models in Amazon SageMaker , users want a seamless and secure way to experiment with and select the models that deliver the most value for their business.

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AWS Machine Learning Blog

DECEMBER 12, 2024

The new SDK is designed with a tiered user experience in mind, where the new lower-level SDK ( SageMaker Core ) provides access to full breadth of SageMaker features and configurations, allowing for greater flexibility and control for ML engineers. In the following example, we show how to fine-tune the latest Meta Llama 3.1

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ML Python Data Scientist Natural Language Processing 98

Unite.AI

FEBRUARY 3, 2025

That is where Machine Learning (ML) plays an important role. We need to train ML models with large amounts of data so that they can form representations of this variability and identify those changes that point to disease. Aside from data, there is a continual progress in developing novel ML methods to improve accuracy.

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Flipboard

MARCH 16, 2025

AI was certainly getting better at predictive analytics and many machine learning (ML) algorithms were being used for voice recognition, spam detection, spell ch… Read More What seemed like science fiction just a few years ago is now an undeniable reality. Back in 2017, my firm launched an AI Center of Excellence.

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Analytics Vidhya

JANUARY 21, 2025

In this article, we will build an ML model for forecasting and predicting Bitcoin price, using ZenML and MLflow. Don’t know much about Bitcoin or its price fluctuations but want to make investment decisions to make profits? This machine learning model has your back. It can predict the prices way better than an astrologer.

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Machine Learning ML 222

AWS Machine Learning Blog

OCTOBER 16, 2024

Amazon SageMaker supports geospatial machine learning (ML) capabilities, allowing data scientists and ML engineers to build, train, and deploy ML models using geospatial data. SageMaker Processing provisions cluster resources for you to run city-, country-, or continent-scale geospatial ML workloads.

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Machine Learning ML Data Scientist Robotics 118

Unite.AI

FEBRUARY 6, 2025

AI and machine learning (ML) are reshaping industries and unlocking new opportunities at an incredible pace. The first lesson many AI practitioners learn is that ML is more accessible than one might think. Its helpful to start by choosing a project that is both interesting and manageable within the scope of ML.

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Artificial Intelligence Artificial Intelligence ML Responsible AI 166

AI News

DECEMBER 22, 2024

As we approach a new year filled with potential, the landscape of technology, particularly artificial intelligence (AI) and machine learning (ML), is on the brink of significant transformation.

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AI News

FEBRUARY 12, 2025

ML-based container security platforms can scan image repositories and compare each against databases of known vulnerabilities and issues. Scans can be automatically triggered and scheduled, helping prevent the addition of harmful elements during development and in production.

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Machine Learning Algorithm Automation ML 303

Analytics Vidhya

AUGUST 7, 2024

Introduction As someone deeply passionate about the intersection of technology and education, I am thrilled to share that the Indian Space Research Organisation (ISRO) is offering an incredible opportunity for students interested in artificial intelligence (AI) and machine learning (ML). appeared first on Analytics Vidhya.

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Artificial Intelligence Artificial Intelligence Machine Learning ML 349

Unite.AI

MARCH 20, 2025

From there, its about vetting and implementing AI and ML solutions that can comb through the data, identify patterns, and create customer niches based on purchasing profiles. With customer segmentation underway, grocery teams then must partner with AI and ML to develop ongoing promotions campaigns that resonate with each segment.

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AI AI Data Analysis ML 195

Unite.AI

FEBRUARY 6, 2025

TrueFoundry offers a unified Platform as a Service (PaaS) that empowers enterprise AI/ML teams to build, deploy, and manage large language model (LLM) applications across cloud and on-prem infrastructure.

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DevOps Machine Learning Large Language Models Automation 180

AI News

NOVEMBER 14, 2024

AI, blended with the Internet of Things (IoT), machine learning (ML), and predictive analytics, is the primary method to develop smart, efficient, and scalable asset management solutions. This guarantees accuracy, reduces administrative overhead, and increases an asset’s useful life, ultimately contributing to significant cost savings.

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Unite.AI

OCTOBER 27, 2024

This allows developers to run pre-trained models from Python TensorFlow directly in JavaScript applications, making it an excellent bridge between traditional ML development and web-based deployment. Key Features: Hardware-accelerated ML operations using WebGL and Node.js

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NVIDIA

MARCH 6, 2025

Disneys ML Denoiser: Revolutionizing Rendering Fabrice Rousselle was honored with a Scientific and Engineering Award, alongside Thijs Vogels, David Adler, Gerhard Rthlin and Mark Meyer, for his work on Disneys ML Denoiser. link] In this extreme example of four samples average per pixel, Disneys ML Denoiser does a remarkable job.

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Flipboard

NOVEMBER 14, 2024

Machine learning (ML) models contain numerous adjustable settings called hyperparameters that control how they learn from data. Unlike model parameters that are learned automatically during training, hyperparameters must be carefully configured by developers to optimize model performance.

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Neural Network Machine Learning ML 175

Unite.AI

DECEMBER 17, 2024

With higher-quality data and refinements in ML, computer vision, deep learning, and innovative robotics, AI is actively helping growers make agriculture a more viable business endeavor, more sustainable, and more efficient overall. To help aging and short-staffed growers, AI and robotics are becoming ever more common across U.S.

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Computer Vision Robotics AI AI 289

Marktechpost

DECEMBER 2, 2024

The development of machine learning (ML) models for scientific applications has long been hindered by the lack of suitable datasets that capture the complexity and diversity of physical systems. The data is available with a PyTorch interface, allowing for seamless integration into existing ML pipelines.

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Machine Learning ML Metadata Large Language Models 113

Analytics Vidhya

MARCH 25, 2025

Ray has emerged as a powerful framework for distributed computing in AI and ML workloads, enabling researchers and practitioners to scale their applications from laptops to clusters with minimal code changes.

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Machine Learning ML AI AI 125

AWS Machine Learning Blog

OCTOBER 28, 2024

Real-world applications vary in inference requirements for their artificial intelligence and machine learning (AI/ML) solutions to optimize performance and reduce costs. SageMaker Model Monitor monitors the quality of SageMaker ML models in production. Your client applications invoke this endpoint to get inferences from the model.

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ML Metadata Data Scientist DevOps 114

Flipboard

FEBRUARY 11, 2025

By using Amazon Q Business, which simplifies the complexity of developing and managing ML infrastructure and models, the team rapidly deployed their chat solution. With a deep passion for driving performance improvements, he dedicates himself to empowering both customers and teams through innovative ML-enabled solutions.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

With the increasing use of large models, requiring a large number of accelerated compute instances, observability plays a critical role in ML operations, empowering you to improve performance, diagnose and fix failures, and optimize resource utilization. Anjali Thatte is a Product Manager at Datadog.

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LLM ML Large Language Models Deep Learning 109

AWS Machine Learning Blog

NOVEMBER 26, 2024

Challenges in deploying advanced ML models in healthcare Rad AI, being an AI-first company, integrates machine learning (ML) models across various functions—from product development to customer success, from novel research to internal applications. Rad AI’s ML organization tackles this challenge on two fronts.

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Machine Learning ML Automation AI 112

Machine Learning Mastery

NOVEMBER 22, 2024

This well-known motto perfectly captures the essence of ensemble methods: one of the most powerful machine learning (ML) approaches -with permission from deep neural networks- to effectively address complex problems predicated on complex data, by combining multiple models for addressing one predictive task. Unity makes strength.

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AWS Machine Learning Blog

MARCH 18, 2025

The rise of generative AI has significantly increased the complexity of building, training, and deploying machine learning (ML) models. Builders can use built-in ML tools within SageMaker HyperPod to enhance model performance. It now demands deep expertise, access to vast datasets, and the management of extensive compute clusters.

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Machine Learning AI AI ML 112

AWS Machine Learning Blog

OCTOBER 29, 2024

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. This post provides guidance on how you can create a video insights and summarization engine using AWS AI/ML services.

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AWS Machine Learning Blog

NOVEMBER 25, 2024

You can try out the models with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. Both models support a context window of 32,000 tokens, which is roughly 50 pages of text.

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LLM NLP Machine Learning ML 111

Flipboard

FEBRUARY 10, 2025

In this post, we dive into how organizations can use Amazon SageMaker AI , a fully managed service that allows you to build, train, and deploy ML models at scale, and can build AI agents using CrewAI, a popular agentic framework and open source models like DeepSeek-R1. Pranav Murthy is an AI/ML Specialist Solutions Architect at AWS.

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LLM AI AI Python 161

Flipboard

NOVEMBER 19, 2024

AK Soni is a Senior Technical Account Manager with AWS Enterprise Support, where he empowers enterprise customers to achieve their business goals by offering proactive guidance on implementing innovative cloud and AI/ML-based solutions aligned with industry best practices.

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Automation Generative AI ML Artificial Intelligence 152

Marktechpost

FEBRUARY 23, 2025

This system, the first Gym environment for ML tasks, facilitates the study of RL techniques for training AI agents. MLGym is a framework designed to evaluate and develop LLM agents for ML research tasks by enabling interaction with a shell environment through sequential commands. Check out the Paper and GitHub Page.

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AI Researcher AI Research Software Engineer AI 93

AWS Machine Learning Blog

JANUARY 23, 2025

The solution described in this post is geared towards machine learning (ML) engineers and platform teams who are often responsible for managing and standardizing custom environments at scale across an organization. This approach helps you achieve machine learning (ML) governance, scalability, and standardization.

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Automation DevOps Machine Learning ML 107

Flipboard

JANUARY 22, 2025

About the Authors Christian Kamwangala is an AI/ML and Generative AI Specialist Solutions Architect at AWS, based in Paris, France. Irene Arroyo Delgado is an AI/ML and GenAI Specialist Solutions Architect at AWS. For more information and detailed documentation, visit the Amazon Bedrock User Guide.

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AWS Machine Learning Blog

MARCH 20, 2025

It often requires managing multiple machine learning (ML) models, designing complex workflows, and integrating diverse data sources into production-ready formats. Enterprises generate massive volumes of unstructured data, from legal contracts to customer interactions, yet extracting meaningful insights remains a challenge.

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Automation IDP Generative AI Prompt Engineer 112

Marktechpost

NOVEMBER 29, 2024

Don’t Forget to join our 55k+ ML SubReddit. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup. If you like our work, you will love our newsletter.

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Python Generative AI Large Language Models OpenAI 138

Marktechpost

DECEMBER 30, 2024

The study conducted a prospective, multicenter observational study to develop and evaluate an ML algorithm, the Sepsis ImmunoScore, designed to identify sepsis within 24 hours and assess critical illness outcomes such as mortality and ICU admission. Dont Forget to join our 60k+ ML SubReddit. hospitals between April 2017 and July 2022.

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