AWS Machine Learning - AI

NOVEMBER 6, 2024

Traditionally, building frontend and backend applications has required knowledge of web development frameworks and infrastructure management, which can be daunting for those with expertise primarily in data science and machine learning. Fortunately, you can run and test your application locally before deploying it to AWS.

Generative AI 118

Generative AI AWS Artificial Inteligence Applications 118

AWS Machine Learning - AI

DECEMBER 4, 2024

This a revolutionary new capability within Amazon Bedrock that serves as a centralized hub for discovering, testing, and implementing foundation models (FMs). Through Bedrock Marketplace, organizations can use Nemotron’s advanced capabilities while benefiting from the scalable infrastructure of AWS and NVIDIA’s robust technologies.

Artificial Inteligence 101

Artificial Inteligence Microservices Generative AI AWS 101

CIO

APRIL 23, 2025

The time-travel functionality of the delta format enables AI systems to access historical data versions for training and testing purposes. The machine learning models would target and solve for one use case, but Gen AI has the capability to learn and address multiple use cases at scale.

Insurance 164

Insurance Artificial Inteligence Data Architecture 164

AWS Machine Learning - AI

APRIL 10, 2025

Solution overview To evaluate the effectiveness of RAG compared to model customization, we designed a comprehensive testing framework using a set of AWS-specific questions. Our study used Amazon Nova Micro and Amazon Nova Lite as baseline FMs and tested their performance across different configurations.

Case Study 116

Case Study Artificial Inteligence Study Generative AI 116

AWS Machine Learning - AI

DECEMBER 2, 2024

In our tests, we’ve seen substantial improvements in scaling times for generative AI model endpoints across various frameworks. It addresses a critical bottleneck in the deployment process, empowering organizations to build more responsive, cost-effective, and scalable AI systems. dkr.ecr.amazonaws.com/pytorch-inference:2.5.1-gpu-py311-cu124-ubuntu22.04-sagemaker",

Generative AI 100

Generative AI Artificial Inteligence Machine Learning AWS 100

AWS Machine Learning - AI

NOVEMBER 7, 2024

The generative AI playground is a UI provided to tenants where they can run their one-time experiments, chat with several FMs, and manually test capabilities such as guardrails or model evaluation for exploration purposes. This in itself is a microservice, inspired the Orchestrator Saga pattern in microservices.

Generative AI 111

Generative AI AWS Enterprise Artificial Inteligence 111

AWS Machine Learning - AI

NOVEMBER 1, 2024

Without a scalable approach to controlling costs, organizations risk unbudgeted usage and cost overruns. This scalable, programmatic approach eliminates inefficient manual processes, reduces the risk of excess spending, and ensures that critical applications receive priority. However, there are considerations to keep in mind.

Generative AI 138

Generative AI AWS Artificial Inteligence Budget 138

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 95

Artificial Inteligence AWS Machine Learning Load Balancer 95

Openxcell

FEBRUARY 27, 2025

These agents are reactive, respond to inputs immediately, and learn from data to improve over time. Different technologies like NLP (natural language processing), machine learning, and automation are used to build an AI agent. Learning Agents Learning agents improve their performance over time by adapting to new data.

UI/UX 69

UI/UX How To Machine Learning Artificial Inteligence 69

AWS Machine Learning - AI

NOVEMBER 26, 2024

there is an increasing need for scalable, reliable, and cost-effective solutions to deploy and serve these models. We also demonstrate how to test the solution and monitor performance, and discuss options for scaling and multi-tenancy. You can test the inference server by making a request from your local machine.

AWS 100

AWS Load Balancer Software Review Artificial Inteligence 100

AWS Machine Learning - AI

APRIL 9, 2025

Careful model selection, fine-tuning, configuration, and testing might be necessary to balance the impact of latency and cost with the desired classification accuracy. This hybrid approach combines the scalability and flexibility of semantic search with the precision and context-awareness of classifier LLMs.

Artificial Inteligence 123

Artificial Inteligence Generative AI AWS Applications 123

The Crazy Programmer

MARCH 15, 2021

It is a very versatile, platform independent and scalable language because of which it can be used across various platforms. It is the base of Android programming, used to develop mobile applications, and also preferred for automated testing owing to its platform independence property. It is highly scalable and easy to learn.

Programming 317

Programming Open Source Trends Quality Assurance 317

AWS Machine Learning - AI

NOVEMBER 15, 2024

The flexible, scalable nature of AWS services makes it straightforward to continually refine the platform through improvements to the machine learning models and addition of new features. All AWS services are high-performing, secure, scalable, and purpose-built.

Generative AI 113

Generative AI AWS Groups Artificial Inteligence 113

AWS Machine Learning - AI

APRIL 10, 2025

To test Pixtral Large on the Amazon Bedrock console, choose Text or Chat under Playgrounds in the navigation pane. This example tests the models ability to generate PostgreSQL-compatible SQL CREATE TABLE statements for creating entities and their relationships. Lets test it with an organization structure.

Generative AI 96

Generative AI AWS Technical Review Artificial Inteligence 96

Apiumhub

DECEMBER 9, 2024

Verify that Synapse has permission to retrieve secrets by testing access from within the Synapse workspace. Also combines data integration with machine learning. Benefits: Synapse integrates with Apache Spark for distributed computing, allowing for advanced analytics, machine learning, and data transformation on big data.

Azure 91

Azure Analytics Storage Machine Learning 91

TechCrunch

MARCH 23, 2022

With offices in Tel Aviv and New York, Datagen “is creating a complete CV stack that will propel advancements in AI by simulating real world environments to rapidly train machine learning models at a fraction of the cost,” Vitus said. ” Investors that had backed Datagen’s $18.5

Automotive 242

Automotive Artificial Inteligence Machine Learning VR 242

AWS Machine Learning - AI

OCTOBER 16, 2024

As DPG Media grows, they need a more scalable way of capturing metadata that enhances the consumer experience on online video services and aids in understanding key content characteristics. Tom Lauwers is a machine learning engineer on the video personalization team for DPG Media.

Media 115

Media Video Artificial Inteligence Generative AI 115

AWS Machine Learning - AI

JANUARY 29, 2025

In this post, we explore how to deploy distilled versions of DeepSeek-R1 with Amazon Bedrock Custom Model Import, making them accessible to organizations looking to use state-of-the-art AI capabilities within the secure and scalable AWS infrastructure at an effective cost. Adjust the inference parameters as needed and write your test prompt.

Generative AI 129

Generative AI Artificial Inteligence AWS Technical Review 129

CIO

OCTOBER 11, 2022

Our ambition is finding a way to take these amazing capabilities we’ve built in different areas and connect them, using AI and machine learning, to drive huge scale across the ecosystem,” Kaur said. We have reduced the lead time to start a machine learning project from months to hours,” Kaur said.

Artificial Inteligence 217

Artificial Inteligence Machine Learning Games Data 217

CIO

MARCH 31, 2025

High-risk AI systems must undergo rigorous testing and certification before deployment. Talent shortages AI development requires specialized knowledge in machine learning, data science, and engineering. Compliance with the AI Act ensures that AI systems adhere to safety, transparency, accountability, and fairness principles.

Technical Review 117

Technical Review Artificial Inteligence Compliance Open Source 117

TechCrunch

MARCH 30, 2023

.” What makes Oscilar different, Narkhede says, is the platform’s heavy reliance on AI and machine learning. But not just any AI — Narkhede claims that Oscilar’s AI, developed in-house, requires much less first- and third-party data about past fraud incidents from customers to train machine learning models.

Fintech 219

Fintech Machine Learning Artificial Inteligence Banking 219

AWS Machine Learning - AI

MARCH 3, 2025

These recipes include a training stack validated by Amazon Web Services (AWS) , which removes the tedious work of experimenting with different model configurations, minimizing the time it takes for iterative evaluation and testing. You can run these recipes using SageMaker HyperPod or as SageMaker training jobs.

Artificial Inteligence 87

Artificial Inteligence Generative AI AWS Training 87

AWS Machine Learning - AI

NOVEMBER 14, 2024

This innovative service goes beyond traditional trip planning methods, offering real-time interaction through a chat-based interface and maintaining scalability, reliability, and data security through AWS native services. Architecture The following figure shows the architecture of the solution.

Artificial Inteligence 109

Artificial Inteligence Generative AI Travel AWS 109

CIO

JANUARY 1, 2025

The financial mantra that market volatility is a good time to invest would be thoroughly tested. Koletzki would use the move to upgrade the IT environment from a small data room to something more scalable. He makes the distinction between gen AI and machine learning for the analysis of existing data. So far so good.

Strategy 152

Strategy Azure Technical Review Systems Review 152

TechCrunch

JANUARY 23, 2023

The consulting giant reportedly paid around $50 million for Iguazio, a Tel Aviv-based company offering an MLOps platform for large-scale businesses — “MLOps” referring to a set of tools to deploy and maintain machine learning models in production.

Machine Learning 222

Machine Learning Artificial Inteligence Continuous Delivery ChatGPT 222

AWS Machine Learning - AI

DECEMBER 11, 2024

The QA pairs had to be grounded in the learning content and test different levels of understanding, such as recall, comprehension, and application of knowledge. Scalability and robustness With EBSCOlearnings vast content library in mind, the team built scalability into the core of their solution.

Generative AI 83

Generative AI Artificial Inteligence Guidelines Education 83

AWS Machine Learning - AI

MARCH 14, 2025

Raj specializes in Machine Learning with applications in Generative AI, Natural Language Processing, Intelligent Document Processing, and MLOps. He is passionate about building scalable software solutions that solve customer problems. Krishna Gourishetti is a Senior Software Engineer for the Bedrock Agents team in AWS.

AWS 131

AWS Generative AI Linux Groups 131

AWS Machine Learning - AI

APRIL 29, 2025

For both types of vulnerabilities, red teaming is a useful mechanism to mitigate those challenges because it can help identify and measure inherent vulnerabilities through systematic testing, while also simulating real-world adversarial exploits to uncover potential exploitation paths. What is red teaming?

Generative AI 66

Generative AI Weak Development Team AWS Artificial Inteligence 66

AWS Machine Learning - AI

MARCH 4, 2025

We demonstrate how to harness the power of LLMs to build an intelligent, scalable system that analyzes architecture documents and generates insightful recommendations based on AWS Well-Architected best practices. This scalability allows for more frequent and comprehensive reviews.

Generative AI 107

Generative AI Technical Review Software Review Systems Review 107

AWS Machine Learning - AI

MARCH 27, 2025

You can test the Amazon Bedrock inference with Anthropics Sonnet 3.5 You can now test the update by running a few inference calls using the Amazon Bedrock console or the AWS Command Line Interface (AWS CLI). Dhawal Patel is a Principal Machine Learning Architect at AWS. This completes the configuration.

Artificial Inteligence 112

Artificial Inteligence AWS Technical Review Policies 112

CIO

NOVEMBER 14, 2022

Modern analytics is about scaling analytics capabilities with the aid of machine learning to take advantage of the mountains of data fueling today’s businesses, and delivering real-time information and insights to the people across the organization who need it.

Analytics 167

Analytics Machine Learning Artificial Inteligence AWS 167

TechCrunch

DECEMBER 14, 2022

DARPA also funded Verma’s research into in-memory computing for machine learning computations — “in-memory,” here, referring to running calculations in RAM to reduce the latency introduced by storage devices. sets of AI algorithms) while remaining scalable.

Hardware 216

Hardware Development Machine Learning Artificial Inteligence 216

AWS Machine Learning - AI

SEPTEMBER 26, 2024

Trained on the Amazon SageMaker HyperPod , Dream Machine excels in creating consistent characters, smooth motion, and dynamic camera movements. To accelerate iteration and innovation in this field, sufficient computing resources and a scalable platform are essential. py --config configs/train/stage1.yaml

Case Study 117

Case Study Video Training Scalability 117

AWS Machine Learning - AI

MARCH 7, 2025

During these tests, in-house domain experts would grade accuracy, consistency, and adherence to context on a manual grading scale of 110. Feedback from each round of tests was incorporated in subsequent tests. Splitting document pages Verisk tested multiple strategies for document splitting.

Generative AI 89

Generative AI Technical Review Insurance Policies 89

AWS Machine Learning - AI

FEBRUARY 12, 2025

This post demonstrates how to use Medusa-1, the first version of the framework, to speed up an LLM by fine-tuning it on Amazon SageMaker AI and confirms the speed up with deployment and a simple load test. For demonstration purposes, we select 3,000 samples and split them into train, validation, and test sets.

Artificial Inteligence 76

Artificial Inteligence Training AWS Machine Learning 76

TechCrunch

OCTOBER 25, 2022

“We’re engineering the AI platform to help overcome this access barrier … [by] delivering a game-changing, user-friendly and scalable technology with superior performance and efficiency at a fraction of the cost of existing players to accelerate computing vision and natural language processing at the edge.”

Hardware 240

Hardware Machine Learning Artificial Inteligence Blockchain 240

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. Solution overview You can use DeepSeeks distilled models within the AWS managed machine learning (ML) infrastructure. Then we repeated the test with concurrency 10.

Artificial Inteligence 72

Artificial Inteligence AWS Generative AI Metrics 72