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

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. The SQS queue concurrently triggers Lambda functions to run the ML inference job on the image.

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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

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

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 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. This process involves the utilization of both ML and non-ML algorithms.

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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

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

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. Because you use p4de.24xlarge

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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 is a multi patent inventor with three granted patents and his experience spans multiple technology domains including telecom, networking, application integration, AI/ML, and cloud deployments.

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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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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. With Forecast, there are no servers to provision or ML models to build manually. Delete the S3 bucket.

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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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The MLOps Blog

APRIL 17, 2023

As an MLOps engineer on your team, you are often tasked with improving the workflow of your data scientists by adding capabilities to your ML platform or by building standalone tools for them to use. Giving your data scientists a platform to track the progress of their ML projects. Experiment tracking is one such capability.

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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). The algorithms that empower AI and ML require large volumes of training data, in addition to strong and steady amounts of processing power.

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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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AWS Machine Learning Blog

AUGUST 15, 2023

The decision handler determines the moderation action and provides reasons for its decision based on the ML models’ output, thereby deciding whether the image required a further review by a human moderator or could be automatically approved or rejected.

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AWS Machine Learning Blog

APRIL 10, 2025

This means users can build resilient clusters for machine learning (ML) workloads and develop or fine-tune state-of-the-art frontier models, as demonstrated by organizations such as Luma Labs and Perplexity AI. Frontier model builders can further enhance model performance using built-in ML tools within SageMaker HyperPod.

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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

APRIL 2, 2025

Ray promotes the same coding patterns for both a simple machine learning (ML) experiment and a scalable, resilient production application. Overview of Ray This section provides a high-level overview of the Ray tools and frameworks for AI/ML workloads. We primarily focus on ML training use cases.

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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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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. The transformed data acts as the input to AI/ML services.

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AWS Machine Learning Blog

FEBRUARY 19, 2025

Rather than using probabilistic approaches such as traditional machine learning (ML), Automated Reasoning tools rely on mathematical logic to definitively verify compliance with policies and provide certainty (under given assumptions) about what a system will or wont do.

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AWS Machine Learning Blog

JANUARY 28, 2025

In this section, we explore how different system components and architectural decisions impact overall application responsiveness. System architecture and end-to-end latency considerations In production environments, overall system latency extends far beyond model inference time.

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AWS Machine Learning Blog

MARCH 13, 2025

Agent broker methodology Following an agent broker pattern, the system is still fundamentally event-driven, with actions triggered by the arrival of messages. New agents can be added to handle specific types of messages without changing the overall system architecture.

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