AWS Machine Learning - AI

OCTOBER 31, 2024

By implementing this architectural pattern, organizations that use Google Workspace can empower their workforce to access groundbreaking AI solutions powered by Amazon Web Services (AWS) and make informed decisions without leaving their collaboration tool. In the following sections, we explain how to deploy this architecture.

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CIO

SEPTEMBER 14, 2023

With this in mind, we embarked on a digital transformation that enables us to better meet customer needs now and in the future by adopting a lightweight, microservices architecture. We found that being architecturally led elevates the customer and their needs so we can design the right solution for the right problem.

Architecture 158

Architecture Technical Review Microservices Engineering 158

Hacker Earth Developers Blog

DECEMBER 4, 2024

Tech roles are rarely performed in isolation. Example: A candidate might perform well in a calm, structured interview environment but struggle to collaborate effectively in high-pressure, real-world scenarios like product launches or tight deadlines. Why interpersonal skills matter in tech hiring ?

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AWS Machine Learning - AI

JANUARY 29, 2025

Their DeepSeek-R1 models represent a family of large language models (LLMs) designed to handle a wide range of tasks, from code generation to general reasoning, while maintaining competitive performance and efficiency. 70B-Instruct ), offer different trade-offs between performance and resource requirements.

Generative AI 128

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CIO

JULY 14, 2022

Infinidat added cyber resilience on its InfiniGuard ® secondary storage system during the past year and, at the end of April 2022, across its primary storage platforms with the InfiniSafe Reference Architecture, encompassing Infinidat’s complete portfolio.

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AWS Machine Learning - AI

NOVEMBER 7, 2024

Shared components refer to the functionality and features shared by all tenants. You can also bring your own customized models and deploy them to Amazon Bedrock for supported architectures. If it leads to better performance, your existing default prompt in the application is overridden with the new one.

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AWS Machine Learning - AI

MARCH 4, 2025

To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. The solution incorporates the following key features: Using a Retrieval Augmented Generation (RAG) architecture, the system generates a context-aware detailed assessment.

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AWS Machine Learning - AI

OCTOBER 29, 2024

Refer to Supported Regions and models for batch inference for current supporting AWS Regions and models. For instructions on how to start your Amazon Bedrock batch inference job, refer to Enhance call center efficiency using batch inference for transcript summarization with Amazon Bedrock.

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OTS Solutions

DECEMBER 4, 2023

Private cloud architecture is an increasingly popular approach to cloud computing that offers organizations greater control, security, and customization over their cloud infrastructure. What is Private Cloud Architecture? Why is Private Cloud Architecture important for Businesses?

Architecture 130

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AWS Machine Learning - AI

MARCH 13, 2025

Model Variants The current DeepSeek model collection consists of the following models: DeepSeek-V3 An LLM that uses a Mixture-of-Experts (MoE) architecture. These models retain their existing architecture while gaining additional reasoning capabilities through a distillation process.

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AWS Machine Learning - AI

NOVEMBER 20, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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AWS Machine Learning - AI

APRIL 10, 2025

In this post, we demonstrate how to effectively perform model customization and RAG with Amazon Nova models as a baseline. Model customization refers to adapting a pre-trained language model to better fit specific tasks, domains, or datasets. Optimized for cost-effective performance, they are trained on data in over 200 languages.

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CIO

JUNE 27, 2024

It arrives alongside the announcement of SAP’s Open Reference Architecture project as part of the EU’s IPCEI-CIS initiative. Organizations are choosing these platforms based on effective cost, performance, and scalability.”

Open Source 191

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AWS Machine Learning - AI

JANUARY 22, 2025

Security and compliance regulations require that security teams audit the actions performed by systems administrators using privileged credentials. Video recordings cant be easily parsed like log files, requiring security team members to playback the recordings to review the actions performed in them.

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AWS Machine Learning - AI

APRIL 16, 2025

These models are tailored to perform specialized tasks within specific domains or micro-domains. They can host the different variants on a single EC2 instance instead of a fleet of model endpoints, saving costs without impacting performance. The following diagram is the solution architecture.

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AWS Machine Learning - AI

JANUARY 13, 2025

For more on MuleSofts journey to cloud computing, refer to Why a Cloud Operating Model? The following diagram shows the reference architecture for various personas, including developers, support engineers, DevOps, and FinOps to connect with internal databases and the web using Amazon Q Business.

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TechCrunch

NOVEMBER 8, 2022

Increasingly, as Moore’s law rears its ugly head, computer chip developers are adopting “chiplet” architectures to scale their hardware’s processing power. “Process” in chip lingo refers to an architectural platform; TSMC began mass-producing 5 nm chips in 2020.

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AWS Machine Learning - AI

MARCH 3, 2025

To achieve optimal performance for specific use cases, customers are adopting and adapting these FMs to their unique domain requirements. Tuning model architecture requires technical expertise, training and fine-tuning parameters, and managing distributed training infrastructure, among others.

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AWS Machine Learning - AI

OCTOBER 29, 2024

Observability refers to the ability to understand the internal state and behavior of a system by analyzing its outputs, logs, and metrics. Evaluation, on the other hand, involves assessing the quality and relevance of the generated outputs, enabling continual improvement. versions, catering to different programming preferences.

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AWS Machine Learning - AI

NOVEMBER 19, 2024

Seamlessly integrate with APIs – Interact with existing business APIs to perform real-time actions such as transaction processing or customer data updates directly through email. Solution overview This section outlines the architecture designed for an email support system using generative AI.

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Cloudera

JANUARY 7, 2025

While multi-cloud generally refers to the use of multiple cloud providers, hybrid encompasses both cloud and on-premises integrations, as well as multi-cloud setups. A leading meal kit provider migrated its data architecture to Cloudera on AWS, utilizing Cloudera’s Open Data Lakehouse capabilities.

Cloud 82

Cloud Data Scalability Compliance 82

AWS Machine Learning - AI

NOVEMBER 27, 2024

To maximize performance and optimize training, organizations frequently need to employ advanced distributed training strategies. In a transformer architecture, such layers are the embedding layers and the multilayer perceptron (MLP) layers. and prior Llama models) and Mistral model architectures for context parallelism.

Training 106

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Perficient

MARCH 31, 2025

However, enabling external users to access raw data while maintaining security and lineage integrity requires a well-thought-out architecture. This blog outlines a reference architecture to achieve this balance. Recommended Architecture 1. Allow external users to access raw data without compromising governance.

Data 52

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AWS Machine Learning - AI

JANUARY 29, 2025

In this post, we evaluate different generative AI operating model architectures that could be adopted. Governance in the context of generative AI refers to the frameworks, policies, and processes that streamline the responsible development, deployment, and use of these technologies.

Generative AI 85

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Xebia

AUGUST 29, 2023

How does High-Performance Computing on AWS differ from regular computing? For this HPC will bring massive parallel computing, cluster and workload managers and high-performance components to the table. Each job references a job definition. Today’s server hardware is powerful enough to execute most compute tasks.

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AWS Machine Learning - AI

MARCH 26, 2025

Its improved architecture, based on the Multimodal Diffusion Transformer (MMDiT), combines multiple pre-trained text encoders for enhanced text understanding and uses QK-normalization to improve training stability. The model demonstrates improved performance in image quality, typography, and complex prompt understanding.

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AWS Machine Learning - AI

MAY 30, 2024

CBRE, in parallel, completed UAT testing to confirm it performed as expected. The following figure illustrates the core architecture for the NLQ capability. Following steps 5 and 6 in the architecture, the relevant tables schema is sent as input context to the model to generate a SQL query according to the input NLQ.

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AWS Machine Learning - AI

MARCH 27, 2025

Amazon Bedrock cross-Region inference capability that provides organizations with flexibility to access foundation models (FMs) across AWS Regions while maintaining optimal performance and availability. Instead, the system dynamically routes traffic across multiple Regions, maintaining optimal resource utilization and performance.

Artificial Inteligence 111

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AWS Machine Learning - AI

SEPTEMBER 16, 2024

RAG is an approach that combines information retrieval techniques with natural language processing (NLP) to enhance the performance of text generation or language modeling tasks. This is a reference notebook, and it cannot run unless you make changes suggested in the notebook. Refrain from using full access in production environments.

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AWS Machine Learning - AI

OCTOBER 11, 2024

Event-driven operations management Operational events refer to occurrences within your organization’s cloud environment that might impact the performance, resilience, security, or cost of your workloads. The following diagram illustrates the solution architecture.

Cloud 96

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AWS Machine Learning - AI

OCTOBER 16, 2024

For some content, additional screening is performed to generate subtitles and captions. The general architecture of the metadata pipeline consists of two primary steps: Generate transcriptions of audio tracks: use speech recognition models to generate accurate transcripts of the audio content.

Media 115

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AWS Machine Learning - AI

NOVEMBER 13, 2024

The following diagram illustrates the architecture of the application. Authentication is performed against the Amazon Cognito user pool. For more details about the authentication and authorization flows, refer to Accessing AWS services using an identity pool after sign-in.

Generative AI 128

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Erik Bernhardsson

DECEMBER 12, 2023

When possible, refer all matters to committees for “further study and consideration” Attempt to make committees as large as possible — never less than five. Refer back to matters decided upon at the last meeting and attempt to re-open the question of the advisability of that decision.

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The Crazy Programmer

SEPTEMBER 19, 2021

Most of the manufacturing companies of CPU processors are working hard to improve the performance of CPUs. And to increase the performance at a high level, they used various techniques and enhanced the technology they used. Hyper-threading technology is used to increase the speed and performance of the CPU. Hyperthreading.

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AWS Machine Learning - AI

MARCH 14, 2025

This capability enables Anthropics Claude models to identify whats on a screen, understand the context of UI elements, and recognize actions that should be performed such as clicking buttons, typing text, scrolling, and navigating between applications. The following diagram illustrates the solution architecture.

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TechCrunch

SEPTEMBER 27, 2021

As more enterprises migrate to cloud-based architectures, they are also taking on more applications (because they can) and, as a result of that, more complex workloads and storage needs. Machine learning and other artificial intelligence applications add even more complexity.

Artificial Inteligence 246

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TechCrunch

MARCH 20, 2023

The visual reference tool is probably handy for set directors that want to visualize props for certain scenes. This includes animal handling, children’s safety, copyright law objects, stunt performance requirements and even COVID safety measures. For instance, what the feather will look like at the beginning of “Forrest Gump.”

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