AWS Machine Learning Blog

MAY 23, 2023

With organizations increasingly investing in machine learning (ML), ML adoption has become an integral part of business transformation strategies. Architecture overview The inclusion of cloud-native serverless services from AWS is prioritized into the architecture of the PwC MLOps accelerator.

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Machine Learning Research at Apple

JANUARY 28, 2024

The E2E systems implicitly model all conventional ASR components, such as the acoustic model (AM) and the language model (LM), in a single network trained on audio-text pairs. Despite this simpler system architecture, fusing a separate LM, trained exclusively on text corpora, into the E2E system has proven to be beneficial.

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AWS Machine Learning Blog

FEBRUARY 13, 2025

To understand how this dynamic role-based functionality works under the hood, lets examine the following system architecture diagram. As shown in preceding architecture diagram, the system works as follows: The end-user logs in and is identified as either a manager or an employee.

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Snorkel AI

MAY 3, 2023

To empower our enterprise customers to adopt foundation models and large language models, we completely redesigned the machine learning systems behind Snorkel Flow to make sure we were meeting customer needs. In this article, we share our journey and hope that it helps you design better machine learning systems.

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Snorkel AI

MAY 3, 2023

To empower our enterprise customers to adopt foundation models and large language models, we completely redesigned the machine learning systems behind Snorkel Flow to make sure we were meeting customer needs. In this article, we share our journey and hope that it helps you design better machine learning systems.

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AWS Machine Learning Blog

JANUARY 10, 2024

The large machine learning (ML) model development lifecycle requires a scalable model release process similar to that of software development. He has extensive experience in enterprise systems architecture and operations across several industries – particularly in Health Care and Life Science.

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Towards AI

MARCH 1, 2023

While many major tech companies are building their own alternative to ChatGPT, we are particularly excited to see open-source alternatives that can make next-generation LLM models more accessible, flexible, and affordable for the machine learning community. on a dedicated capacity.

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O'Reilly Media

NOVEMBER 19, 2024

What’s old becomes new again: Substitute the term “notebook” with “blackboard” and “graph-based agent” with “control shell” to return to the blackboard system architectures for AI from the 1970s–1980s. See the excellent talk “ Systems That Learn and Reason ” by Frank van Harmelen for more exploration about hybrid AI trends.

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AWS Machine Learning Blog

FEBRUARY 24, 2023

AWS recently released Amazon SageMaker geospatial capabilities to provide you with satellite imagery and geospatial state-of-the-art machine learning (ML) models, reducing barriers for these types of use cases. He works with customers from different sectors to accelerate high-impact data, analytics, and machine learning initiatives.

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Towards AI

MAY 12, 2024

So I decided to narrow down the use case to generate cloud system architecture from a user description. As soon as I started writing code I realized it was too ambitious to create something like DiagramGPT in some hours.

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AWS Machine Learning Blog

MARCH 10, 2025

Solution overview The following figure illustrates our system architecture for CreditAI on AWS, with two key paths: the document ingestion and content extraction workflow, and the Q&A workflow for live user query response. He specializes in generative AI, machine learning, and system design.

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AWS Machine Learning Blog

SEPTEMBER 6, 2024

Understanding the intrinsic value of data network effects, Vidmob constructed a product and operational system architecture designed to be the industry’s most comprehensive RLHF solution for marketing creatives. Use case overview Vidmob aims to revolutionize its analytics landscape with generative AI.

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AWS Machine Learning Blog

NOVEMBER 24, 2023

The system architecture comprises several core components: UI portal – This is the user interface (UI) designed for vendors to upload product images. The future of ecommerce has arrived, and it’s driven by machine learning with Amazon Bedrock. We’ve provided detailed instructions in the accompanying README file.

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AWS Machine Learning Blog

NOVEMBER 17, 2023

Amazon Rekognition Content Moderation , a capability of Amazon Rekognition , automates and streamlines image and video moderation workflows without requiring machine learning (ML) experience. In this section, we briefly introduce the system architecture. For more detailed information, refer to the GitHub repo.

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AWS Machine Learning Blog

MARCH 31, 2023

He is focusing on system architecture, application platforms, and modernization for the cabinet. Rajiv Sharma is a Domain Lead – Contact Center in the AWS Data and Machine Learning team. Drew Clark is a business analyst/project manager for the Kentucky Transportation Cabinet’s Office of Information Technology.

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Flipboard

DECEMBER 6, 2023

This would have required a dedicated cross-disciplinary team with expertise in data science, machine learning, and domain knowledge. He specializes in AWS Networking and has a profound passion for machine leaning, AI, and Generative AI. She helps customers to build, train and deploy large machine learning models at scale.

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Heartbeat

JANUARY 9, 2024

This is brought on by various developments, such as the availability of data, the creation of more potent computer resources, and the development of machine learning algorithms. Deployment : The adapted LLM is integrated into this stage's planned application or system architecture.

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Snorkel AI

MAY 3, 2023

To empower our enterprise customers to adopt foundation models and large language models, we completely redesigned the machine learning systems behind Snorkel Flow to make sure we were meeting customer needs. In this article, we share our journey and hope that it helps you design better machine learning systems.

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Towards AI

OCTOBER 30, 2023

Three output neurons approach (simple) As we want to have an optimal system architecture, we are not going to have a new model which is again a binary classifier just for every small task. First column contains a relative path to the image, second column — class id. Now let’s talk about two approaches to solve this task.

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Google Research AI blog

DECEMBER 14, 2022

It leverages recent developments in on-device machine learning to transcribe speech , recognize audio events , suggest tags for titles, and help users navigate transcripts. This feature is powered by Google's new speaker diarization system named Turn-to-Diarize , which was first presented at ICASSP 2022.

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phData

MAY 25, 2023

explore Increase Speed of Insights With Faster Data Movement Supply chain organizations often struggle with making effective use of their data due to poor system architecture, which results in significant data lag; this lag creates bottlenecks for decision making.

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Google Research AI blog

FEBRUARY 14, 2023

In previous machine-learned approaches, robots were limited to short, hard-coded commands, like “Pick up the sponge,” because they struggled with reasoning about the steps needed to complete a task — which is even harder when the task is given as an abstract goal like, “Can you help clean up this spill?”

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Pickl AI

DECEMBER 4, 2023

Data Intelligence takes that data, adds a touch of AI and Machine Learning magic, and turns it into insights. Through advanced analytics and Machine Learning algorithms, they identify patterns such as popular products, peak shopping times, and customer preferences. 10,00000 Deep learning, programming (e.g.,

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AWS Machine Learning Blog

JANUARY 30, 2023

Amazon Forecast is a fully managed service that uses machine learning (ML) to generate highly accurate forecasts, without requiring any prior ML experience. Conclusion In this post, we showed you how easy to use how to use Forecast and its underlying system architecture to predict water demand using water consumption data.

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

The compute clusters used in these scenarios are composed of more than thousands of AI accelerators such as GPUs or AWS Trainium and AWS Inferentia , custom machine learning (ML) chips designed by Amazon Web Services (AWS) to accelerate deep learning workloads in the cloud.

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Pickl AI

NOVEMBER 12, 2024

Simulink provides blocks specifically designed for AI functions, allowing you to incorporate Machine Learning or deep learning models seamlessly. This step ensures that the AI component is correctly linked within the overall system architecture.

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ODSC - Open Data Science

JULY 18, 2023

Understanding AI Coding Programs Microsoft Copilot is an AI-powered coding assistant that uses machine learning models trained on a vast amount of code repositories to provide intelligent code suggestions and completions in real-time. So first up are the AI coding programs developers are using.

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Pickl AI

DECEMBER 10, 2024

The systems architecture combines Oracles hardware expertise with software optimisation to deliver unmatched performance. Future of Engineered Systems Engineered systems are poised to redefine enterprise IT with their ability to deliver high performance, seamless integration, and operational efficiency.

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The MLOps Blog

MARCH 12, 2024

Machine Learning Operations (MLOps) vs Large Language Model Operations (LLMOps) LLMOps fall under MLOps (Machine Learning Operations). The following table provides a more detailed comparison: Task MLOps LLMOps Primary focus Developing and deploying machine-learning models. Caption : RAG system architecture.

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IBM Journey to AI blog

JULY 18, 2024

Computing Computing is being dominated by major revolutions in artificial intelligence (AI) and machine learning (ML). Two major communication-based examples of distributed computing have been the internet and e-mail, both of which transformed modern life.

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The MLOps Blog

APRIL 17, 2023

Of course, this would be helpful for them to build robust and high-performing machine learning models. You don’t want to end up in a situation where you need to rewrite a system due to some shortcuts you took early on when only one data scientist was using it. Varying workflows so users can decide what they want to track.

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AWS Machine Learning Blog

AUGUST 15, 2023

The team successfully migrated a subset of self-managed ML models in the image moderation system for nudity and not safe for work (NSFW) content detection to the Amazon Rekognition Detect Moderation API, taking advantage of the highly accurate and comprehensive pre-trained moderation models.

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Flipboard

JANUARY 15, 2025

In this post, we show how you can use our enterprise graph machine learning (GML) framework GraphStorm to solve prediction challenges on large-scale complex networks inspired by our practices of exploring GML to mitigate the AWS backbone network congestion risk.

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AWS Machine Learning Blog

MARCH 5, 2025

It requires checking many systems and teams, many of which might be failing, because theyre interdependent. Developers need to reason about the system architecture, form hypotheses, and follow the chain of components until they have located the one that is the culprit.

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Dataconomy

MARCH 19, 2025

Nvidia GR00T N1 and its capabilities The Nvidia Isaac GR00T N1 foundation model introduces a dual-system architecture inspired by human cognition. System 1 acts as a fast-thinking action model emulating human reflexes and intuition, while System 2 serves as a slow-thinking model for methodical decision-making.

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AWS Machine Learning Blog

APRIL 2, 2025

Ray promotes the same coding patterns for both a simple machine learning (ML) experiment and a scalable, resilient production application. To learn more about the aws-do-ray framework, refer to the GitHub repo. Prior to AWS, he went to Boston University and graduated with a degree in Computer Engineering.

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AWS Machine Learning Blog

NOVEMBER 12, 2024

There are various technologies that help operationalize and optimize the process of field trials, including data management and analytics, IoT, remote sensing, robotics, machine learning (ML), and now generative AI. Menachem Melamed is a Senior Solutions Architect at AWS, specializing in Big Data analytics and AI.

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