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. In this section, we briefly introduce the system architecture.

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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 You can then take the easy-ssh.sh

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Heartbeat

JANUARY 9, 2024

Large language models have emerged as ground-breaking technologies with revolutionary potential in the fast-developing fields of artificial intelligence (AI) and natural language processing (NLP). These LLMs are artificial intelligence (AI) systems trained using large data sets, including text and code.

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Flipboard

DECEMBER 6, 2023

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. She leads machine learning (ML) projects in various domains such as computer vision, natural language processing and 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. As an ML enthusiast, Dhaval is driven by his passion for creating impactful solutions that bring positive change.

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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. Furthermore, its seamless integration with Oracle Business Intelligence Suite enables users to harness its full potential. Core Features Exalytics is engineered for speed and scalability.

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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 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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ODSC - Open Data Science

MARCH 31, 2025

Building Multimodal AI Agents: Agentic RAG with Vision-Language Models Suman Debnath, Principal AI/ML Advocate at Amazon WebServices Learn how to create AI agents that integrate both vision and language using retrieval-augmented generation (RAG).

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AWS Machine Learning Blog

MARCH 13, 2025

Advancements in multimodal artificial intelligence (AI), where agents can understand and generate not just text but also images, audio, and video, will further broaden their applications. This post will discuss agentic AI driven architecture and ways of implementing.

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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. However, its important to understand its limitations.

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