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. Although the implementation is straightforward, following best practices is crucial for the scalability, security, and maintainability of your observability infrastructure.

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Generative AI Applications AWS Knowledge Base 113

AWS Machine Learning - AI

NOVEMBER 15, 2024

Principal also used the AWS open source repository Lex Web UI to build a frontend chat interface with Principal branding. Model monitoring of key NLP metrics was incorporated and controls were implemented to prevent unsafe, unethical, or off-topic responses. The platform has delivered strong results across several key metrics.

Generative AI 113

Generative AI AWS Groups Artificial Inteligence 113

AWS Machine Learning - AI

MARCH 20, 2025

The Asure team was manually analyzing thousands of call transcripts to uncover themes and trends, a process that lacked scalability. Staying ahead in this competitive landscape demands agile, scalable, and intelligent solutions that can adapt to changing demands. and Anthropics Claude Haiku 3.

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Generative AI Artificial Inteligence Metrics AWS 93

John Snow Labs

JUNE 26, 2024

Learn how the open-source Spark NLP library provides optimized and scalable LLM inference for high-volume text and image processing pipelines. We will show live code examples and benchmarks comparing Spark NLP’s performance and cost-effectiveness against both commercial APIs and other open-source solutions.

Artificial Inteligence 52

Artificial Inteligence Open Source Scalability Software Review 52

AWS Machine Learning - AI

OCTOBER 29, 2024

All of this data is centralized and can be used to improve metrics in scenarios such as sales or call centers. In contrast, our solution is an open-source project powered by Amazon Bedrock , offering a cost-effective alternative without those limitations.

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Generative AI Video Engineering Artificial Inteligence 111

Cloudera

DECEMBER 4, 2024

The Cloudera AI Inference service is a highly scalable, secure, and high-performance deployment environment for serving production AI models and related applications. The emergence of GenAI, sparked by the release of ChatGPT, has facilitated the broad availability of high-quality, open-source large language models (LLMs).

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Artificial Inteligence Architecture Machine Learning Metrics 73

TechCrunch

NOVEMBER 30, 2020

Materialize , the SQL streaming database startup built on top of the open source Timely Dataflow project, announced a $32 million Series B investment today led by Kleiner Perkins with participation from Lightspeed Ventures. Series D as scalable database resonates. Cockroach Labs scores $86.6M

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Open Source Metrics Scalability Company 180

AWS Machine Learning - AI

MARCH 13, 2025

When customers receive incoming calls at their call centers, MaestroQA employs its proprietary transcription technology, built by enhancing open source transcription models, to transcribe the conversations. Success metrics The early results have been remarkable.

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Generative AI CTO Coach AWS Artificial Inteligence 113

AWS Machine Learning - AI

MARCH 11, 2025

By integrating this model with Amazon SageMaker AI , you can benefit from the AWS scalable infrastructure while maintaining high-quality language model capabilities. With these containers, you can use high-performance open source inference libraries like vLLM , TensorRT-LLM , and Transformers NeuronX to deploy LLMs on SageMaker endpoints.

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Artificial Inteligence AWS Generative AI Metrics 78

AWS Machine Learning - AI

MARCH 13, 2025

Amazon SageMaker AI provides a managed way to deploy TGI-optimized models, offering deep integration with Hugging Faces inference stack for scalable and cost-efficient LLM deployment. Optimizing these metrics directly enhances user experience, system reliability, and deployment feasibility at scale. xlarge across all metrics.

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Artificial Inteligence AWS Machine Learning Load Balancer 108

TechCrunch

OCTOBER 7, 2021

Today a startup that’s built a scalable platform to manage that is announcing a big round of funding to continue its own scaling journey. The underlying large-scale metrics storage technology they built was eventually open sourced as M3.

Cloud 209

Cloud Sport Open Source Artificial Inteligence 209

AWS Machine Learning - AI

DECEMBER 2, 2024

It addresses a critical bottleneck in the deployment process, empowering organizations to build more responsive, cost-effective, and scalable AI systems. It supports a wide range of popular open source LLMs, making it a popular choice for diverse AI applications. The following table summarizes our setup.

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Generative AI Artificial Inteligence Machine Learning AWS 108

AWS Machine Learning - AI

SEPTEMBER 26, 2024

To accelerate iteration and innovation in this field, sufficient computing resources and a scalable platform are essential. SageMaker HyperPod provides several key features and advantages in the scalable training architecture. We also installed MLflow Tracking on the controller node to monitor the training progress.

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Case Study Video Training Scalability 119

AWS Machine Learning - AI

APRIL 10, 2025

For instance, Pixtral Large is highly effective at spotting irregularities or insightful trends within training loss curves or performance metrics, enhancing the accuracy of data-driven decision-making. Andre Boaventura is a Principal AI/ML Solutions Architect at AWS, specializing in generative AI and scalable machine learning solutions.

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Generative AI AWS Technical Review Artificial Inteligence 109

AWS Machine Learning - AI

JANUARY 29, 2025

In addition, Amazon SageMaker JumpStart onboards and maintains open source FMs from third-party sources such as Hugging Face. These integration points enable secure and controlled communication between the centralized generative AI orchestration and the LOBs business-specific applications, data sources, or services.

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Generative AI Organization Enterprise Artificial Inteligence 99

Netflix Tech

MARCH 13, 2020

SVT-AV1: open-source AV1 encoder and decoder by Andrey Norkin , Joel Sole , Mariana Afonso , Kyle Swanson, Agata Opalach , Anush Moorthy , Anne Aaron SVT-AV1 is an open-source AV1 codec implementation hosted on GitHub [link] under a BSD + patent license. A single-threaded compression mode is used.

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Open Source Testing Linux Performance 63

AWS Machine Learning - AI

APRIL 29, 2025

In this post, we explore how AWS services can be seamlessly integrated with open source tools to help establish a robust red teaming mechanism within your organization. It generates a detailed visual report with metrics and measurements of potential bias, helping organizations understand and address imbalances.

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Generative AI Weak Development Team AWS Artificial Inteligence 72

OverOps

JULY 21, 2020

Open-source solutions to look into: Apache JMeter (testing functional behavior and performance), SonarQube (Static Analysis) kubectl apply validate -dry-run=client -f example.yaml (validates your YAML file). Scalability testing. Some open-source dashboards to look into include Grafana , Kibana and Prometheus.

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Applications Microservices Testing Analysis 226

AWS Machine Learning - AI

APRIL 24, 2024

This post assesses two primary approaches for developing AI assistants: using managed services such as Agents for Amazon Bedrock , and employing open source technologies like LangChain. Additionally, you can access device historical data or device metrics. What is an AI assistant?

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Artificial Inteligence Lambda Knowledge Base IoT 137

OverOps

FEBRUARY 19, 2020

The accelerated adoption of microservices and increasingly distributed systems brings the promise of greater speed, scalability and flexibility. There are open source tools such as Jagger – that provide end-end distributed tracing and the ability to monitor and troubleshoot transactions in complex distributed systems.

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System Microservices Weak Development Team How To 195

AWS Machine Learning - AI

NOVEMBER 7, 2024

Model monitoring – The model monitoring service allows tenants to evaluate model performance against predefined metrics. A model monitoring solution gathers request and response data, runs evaluation jobs to calculate performance metrics against preset baselines, saves the outputs, and sends an alert in case of issues.

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Generative AI AWS Enterprise Artificial Inteligence 113

AWS Machine Learning - AI

JULY 24, 2024

Their mission is to continuously refine these LLMs and AI models by integrating state-of-the-art solutions and collaborating with leading technology providers, including open source communities and public cloud services like AWS and building it into a unified AI platform. This was far from efficient and scalable.

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Artificial Inteligence Performance Open Source Machine Learning 129

Dzone - DevOps

FEBRUARY 15, 2024

Kubernetes, the de-facto orchestration platform, offers scalability and agility. Prometheus, a powerful open-source monitoring system, emerges as a perfect fit for this role, especially when integrated with Kubernetes. In the dynamic world of cloud-native technologies, monitoring and observability have become indispensable.

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Open Source Metrics Scalability Agile 94

Altexsoft

NOVEMBER 30, 2018

February 1998 became one of the notable months in the software development community: The Open Source Initiative (OSI) corporation was founded and the open source label was introduced. The term represents a software development approach based on collaborative improvement and source code sharing. Well, it doesn’t.

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Open Source Software Review Software How To 60

John Snow Labs

APRIL 30, 2025

Integrated with Spark NLP , our models offer scalable, transparent, and domain-adapted solutions that surpass black-box commercial APIs in medical NLP tasks. Our approach surpasses traditional negation detection by addressing the full spectrum of assertion types , ensuring scalable, accurate, and efficient clinical NLP applications.

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Artificial Inteligence Azure Technical Review Software Review 52

TechCrunch

FEBRUARY 23, 2021

As Diner points out, Plume’s service stack is based not around a router (as Eero’s primarily was) but on mesh technology that uses an open source silicon-to-cloud framework platform for building services to run on the mesh network that it calls OpenSync. We’re delighted to join and support this exciting journey.”

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Network Architecture Cloud Open Source 229

Tenable

MAY 20, 2024

An overview of Fluent Bit and of the Linguistic Lumberjack vulnerability Fluent Bit is a lightweight, open-source data collector and processor that can handle large volumes of log data from various sources. For example, HTTP endpoints exist to indicate service uptime, plugin metrics, health checks, etc.

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Cloud Software Review Technical Review Systems Review 141

TechCrunch

OCTOBER 8, 2021

Testimonial: “[They have] a deep understanding of cloud technology and how to use that in combination with open source software to get us an infrastructure that is scalable but easy to understand and maintain. Recommended by: Garland Kan, consultant. They were literally trying to make themselves obsolete!”.

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Fractional CTO Software Review Software Technical Review 236

Hacker Earth Developers Blog

SEPTEMBER 25, 2023

It aggregates complex telemetry data—metrics, logs, and traces—from disparate systems and applications in your business. Cloud-nativity, serverless, open-source containerization, and other technology developments must be used to fuel accelerated, high-volume deployment. Next, they have to source the location of the error.

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Weak Development Team Development DevOps Metrics 130

The Citus Data

MARCH 29, 2022

Loading at Hyperscale: Advanced Data Import Techniques for Citus , by Colton Shepard of TRM Labs (on-demand talk, Citus open source user). Citus 11: A look at the Elicorn’s horn , by Marco Slot who is head of the Citus database engine team at Microsoft (EMEA livestream, Citus team, scalability, performance, latest release).

Azure 145

Azure Open Source Performance Case Study 145

The Citus Data

OCTOBER 1, 2021

Further, it shows our commitment to open source PostgreSQL and its ecosystem. We analyzed connection scaling bottlenecks in Postgres and identified snapshot scalability as the primary bottleneck. After identifying this bottleneck, our team committed a series of changes to improve snapshot scalability in Postgres.

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Azure Software Review Testing Open Source 144

CIO

DECEMBER 21, 2022

To integrate data or not As organizations find themselves having to integrate data from a variety of data sources both on-premises and in the cloud — which can be a time consuming and complicated process — the demand to simplify the setting-up process increases. We all hear the horror stories,” he says.

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Business Intelligence Pharmaceuticals Technical Review Government 197

CircleCI

SEPTEMBER 16, 2022

Each year we examine workflow data to illustrate how teams on our platform perform relative to four key metrics: Duration : The length of time it takes a workflow to run. Using this data, we can determine the habits and practices that lead to DevOps success so we can share these learnings and benchmarks with the community.

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Metrics Programming DevOps Software Review 64

Altexsoft

FEBRUARY 11, 2020

You’ll also be introduced to nine open-source tools you can use to automate and streamline your incident response processes. The following are popular, free, open-source tools you can use to automate or streamline your incident response process. Scalable and flexible. Can be complicated to deploy.

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Cloudera

MAY 13, 2021

Specifically, the whitepaper analyzes the technical and operational differences between modern processing engines from the Apache open source community. Another consideration is the scalability of an engine. Consideration #5: Enterprise operations.

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Engineering Comparison Open Source Scalability 102

Cloudera

MAY 23, 2024

The Solution The Cloudera platform provides enterprise-grade machine learning, and in combination with Ollama, an open source LLM localization service, provides an easy path to building a customized KMS with the familiar ChatGPT style of querying. Trulens), but this can be much more complex at an enterprise-level to manage.

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Artificial Inteligence System Open Source Weak Development Team 80

Cloudera

OCTOBER 8, 2024

This service supports a range of optimized AI models, enabling seamless and scalable AI inference. Our approach provides accelerated, scalable, and efficient infrastructure along with enterprise-grade security and governance. The Cloudera AI Inference service also offers exceptional scalability and flexibility.

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Applications Generative AI Disaster Recovery Artificial Inteligence 75