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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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.

Generative AI 113

Generative AI Applications AWS Knowledge Base 113

CIO

NOVEMBER 19, 2024

You can use these agents through a process called chaining, where you break down complex tasks into manageable tasks that agents can perform as part of an automated workflow. It’s important to break it down this way so you can see beyond the hype and understand what is specifically being referred to.

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AWS Machine Learning - AI

OCTOBER 16, 2024

For some content, additional screening is performed to generate subtitles and captions. The evaluation focused on two key factors: price-performance and transcription quality. Word information lost (WIL) – This metric quantifies the amount of information lost due to transcription errors. A lower MER signifies better accuracy.

Media 117

Media Video Artificial Inteligence Generative AI 117

AWS Machine Learning - AI

MARCH 14, 2025

As these AI technologies become more sophisticated and widely adopted, maintaining consistent quality and performance becomes increasingly complex. Furthermore, traditional automated evaluation metrics typically require ground truth data, which for many AI applications is difficult to obtain.

Knowledge Base 104

Knowledge Base Applications Artificial Inteligence Generative AI 104

AWS Machine Learning - AI

MARCH 13, 2025

The following figure illustrates the performance of DeepSeek-R1 compared to other state-of-the-art models on standard benchmark tests, such as MATH-500 , MMLU , and more. To learn more about Hugging Face TGI support on Amazon SageMaker AI, refer to this announcement post and this documentation on deploy models to Amazon SageMaker AI.

Artificial Inteligence 108

Artificial Inteligence AWS Machine Learning Load Balancer 108

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 ?

Recruiting 130

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AWS Machine Learning - AI

APRIL 9, 2025

By monitoring utilization metrics, organizations can quantify the actual productivity gains achieved with Amazon Q Business. Tracking metrics such as time saved and number of queries resolved can provide tangible evidence of the services impact on overall workplace productivity.

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AWS Machine Learning - AI

MARCH 11, 2025

A recent evaluation conducted by FloTorch compared the performance of Amazon Nova models with OpenAIs GPT-4o. Amazon Nova is a new generation of state-of-the-art foundation models (FMs) that deliver frontier intelligence and industry-leading price-performance. Hemant Joshi, CTO, FloTorch.ai Each provisioned node was r7g.4xlarge,

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Artificial Inteligence Knowledge Base Comparison Generative AI 111

TechCrunch

DECEMBER 19, 2022

Choose metrics that matter. Your company is already likely using vanity metrics, like open rates, shares and time spent on a page, to measure how well your content seems to be performing. Vanity metrics don’t measure how engaged potential customers are; they simply gauge the relative popularity of your business.

Government 234

Government System Metrics Sport 234

AWS Machine Learning - AI

MARCH 20, 2025

Asure anticipated that generative AI could aid contact center leaders to understand their teams support performance, identify gaps and pain points in their products, and recognize the most effective strategies for training customer support representatives using call transcripts. and Anthropics Claude Haiku 3.

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Generative AI Artificial Inteligence Metrics AWS 93

Honeycomb

APRIL 23, 2025

Get your free copy of Charity’s Cost Crisis in Metrics Tooling whitepaper. In the past, I have referred to these models as observability 1.0 But companies built using the multiple pillars model have bristled at being referred to as 1.0 If you use a lot of custom metrics, switching to the 2.0 and observability 2.0.

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Weak Development Team Metrics Storage Engineering 106

AWS Machine Learning - AI

NOVEMBER 15, 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.

Applications 111

Applications Generative AI AWS Artificial Inteligence 111

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.

Artificial Inteligence 117

Artificial Inteligence Applications Knowledge Base Generative AI 117

TechCrunch

FEBRUARY 17, 2022

To determine the short-term impact of earned media, we conducted an analysis of organic performance of 11 new brand partners across the first 90 days of their partnerships with us. Here’s what we found: Ahrefs metric: Average growth: Median growth: Domain Rating. +5. Referring domains. Referring domains rose by over 4,000.

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Media Organization How To Metrics 232

AWS Machine Learning - AI

NOVEMBER 7, 2024

Shared components refer to the functionality and features shared by all tenants. If it leads to better performance, your existing default prompt in the application is overridden with the new one. Refer to Perform AI prompt-chaining with Amazon Bedrock for more details. This logic sits in a hybrid search component.

Generative AI 113

Generative AI AWS Enterprise Artificial Inteligence 113

Xebia

JANUARY 11, 2024

Agile practitioners often refer to the four quadrants that make up the culture of autonomy and alignment. Balancing these factors is critical to good performance in Agile organizations. Difficulties in Creating Autonomy and Alignment Creating a performance culture of high alignment and high autonomy is not a one-time effort.

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UruIT

NOVEMBER 2, 2020

In this post, we’ll cover what mobile performance is. What’s mobile performance? Mobile app performance refers to how well an app behaves on a mobile device under various circumstances and loads. Performance is a result of multiple factors: the server, device, network, and even how the app is programmed.

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Mobile Performance Weak Development Team Technical Review 144

AWS Machine Learning - AI

DECEMBER 3, 2024

Digital experience interruptions can harm customer satisfaction and business performance across industries. NR AI responds by analyzing current performance data and comparing it to historical trends and best practices. This report provides clear, actionable recommendations and includes real-time application performance insights.

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Technical Review AWS eCommerce Systems Review 106

Perficient

DECEMBER 31, 2024

Core Web Vitals, introduced by Google, are key performance metrics that help evaluate the overall quality of a website’s interaction. Optimizing Core Web Vitals ensures not just better user experiences but also improved SEO and performance in these scenarios. Lighthouse: Perform in-depth audits directly in Chrome DevTools.

Applications 52

Applications UI/UX Metrics Web Development 52

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.

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Generative AI Artificial Inteligence AWS Technical Review 132

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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Software Review Weak Development Team Software Technical Advisors 277

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. In this space, the similarity between the query and document vectors can be computed using standard distance metrics like cosine similarity or euclidean distance.

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Performance Software Review AWS Systems Review 123

AWS Machine Learning - AI

APRIL 10, 2025

This is particularly beneficial for tasks like automatically processing receipts or invoices, where it can perform calculations and context-aware evaluations, streamlining processes such as expense tracking or financial analysis. It can effortlessly identify trends, anomalies, and key data points within graphical visualizations.

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Generative AI AWS Technical Review Artificial Inteligence 109

AWS Machine Learning - AI

MAY 30, 2024

The company’s Data & Analytics team regularly receives client requests for unique reports, metrics, or insights, which require custom development. CBRE, in parallel, completed UAT testing to confirm it performed as expected. The environment was developed over a period of multiple development sprints.

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AWS Lambda Performance Artificial Inteligence 129

TechCrunch

JANUARY 13, 2023

That statement is in reference to their expectations of when they’ll price their IPO, or with regards to a future private round. The layout of the chart is meant to give every company the ability to map itself to the grid using a few metrics. Investors are sitting on mountains of cash: Where will it be deployed?

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Groups Metrics Company Performance 249

CIO

JULY 9, 2024

There’ll be tasks that AI will be able to perform better than humans, tasks that will still benefit from a human touch, and situations where a combination of humans and AI will be the right approach. Instead, it’ll become important to “measure human performance, emphasizing both business and human outcomes,” according to Deloitte.

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Generative AI Metrics Recruiting Organization 209

AWS Machine Learning - AI

JULY 24, 2024

They are committed to enhancing the performance and capabilities of AI models, with a particular focus on large language models (LLMs) for use with Einstein product offerings. LMI containers are a set of high-performance Docker Containers purpose built for LLM inference. When the team initially deployed CodeGen 2.5,

Artificial Inteligence 129

Artificial Inteligence Performance Open Source Machine Learning 129

Xebia

OCTOBER 23, 2024

In our example, our CloudWatch Alarms are fed by metrics generated by our ALB, but we could use any other metric that we thought could be more relevant. ClouDNS Documentation : Refer to the official ClouDNS documentation for detailed insights into their DNS hosting services and configurations.

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AWS Network Software Review Lambda 130

AWS Machine Learning - AI

MARCH 11, 2025

Distillation refers to a process of training smaller, more efficient models to mimic the behavior and reasoning patterns of the larger DeepSeek-R1 model, using it as a teacher model. For example, DeepSeek-R1-Distill-Llama-8B offers an excellent balance of performance and efficiency. For details, refer to Create an AWS account.

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Artificial Inteligence AWS Generative AI Metrics 78

CIO

NOVEMBER 20, 2023

The high performers also saw 60% higher shareholder returns and 20% higher operating margins. Well-known metrics, such as deployment frequency, are useful when it comes to tracking teams but not individuals. Then we complemented these with the following four “opportunity-focused metrics.” The results were striking.

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Development Metrics Software Development Pharmaceuticals 190

AWS Machine Learning - AI

APRIL 24, 2024

We present the reinforcement learning process and the benchmarking results to demonstrate the LLM performance improvement. You can refer to further explanations in the following resources:** * ARS GEN 10.0/05.01.02. Design Criteria & Appendices/Performance Package AR Sortable Design Criteria v20.1.1.pdf

Artificial Inteligence 132

Artificial Inteligence Engineering Performance Construction 132

xmatters

JANUARY 7, 2025

Types of Workflows Types of workflows refer to the method or structure of task execution, while categories of workflows refer to the purpose or context in which they are used. Define the order in which tasks are performed. Manual Workflows: These are processes that require human intervention at each step.

Software Review 98

Software Review Technical Review DevOps Systems Review 98

Perficient

DECEMBER 16, 2024

It enables marketers to build personalized emails, manage subscriber data, and monitor campaign performance, all within a unified platform. Analytics and Reporting Measure performance with detailed reports on key metrics like open, click-through, and conversion rates.

Marketing 52

Marketing Metrics Cloud Analytics 52

CIO

DECEMBER 17, 2024

Foster continuous feedback loops: Continuous feedback refers to an ongoing mechanism for capturing, analyzing, and responding to different sentiments and input in real time related to an initiative or topic. The road ahead: Balancing risks and rewards While pervasive IT governance offers numerous benefits, it is not without risks.

Government 78

Government Survey Metrics Culture 78

AWS Machine Learning - AI

MARCH 5, 2025

Ground truth data in AI refers to data that is known to be factual, representing the expected use case outcome for the system being modeled. These benchmarks are essential for tracking performance drift over time and for statistically comparing multiple assistants in accomplishing the same task.

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Generative AI Systems Review Software Review Artificial Inteligence 76

AWS Machine Learning - AI

DECEMBER 2, 2024

For generative AI models requiring multiple instances to handle high-throughput inference requests, this added significant overhead to the total scaling time, potentially impacting application performance during traffic spikes. We ran 5+ scaling simulations and observed consistent performance with low variations across trials.

Generative AI 108

Generative AI Artificial Inteligence Machine Learning AWS 108