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. The Streamlit application will now display a button labeled Get LLM Response.

Generative AI 119

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AWS Machine Learning - AI

APRIL 22, 2025

In December, we announced the preview availability for Amazon Bedrock Intelligent Prompt Routing , which provides a single serverless endpoint to efficiently route requests between different foundation models within the same model family. His interest includes generative models and sequential data modeling.

Artificial Inteligence 114

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AWS Machine Learning - AI

APRIL 30, 2025

With advancement in AI technology, the time is right to address such complexities with large language models (LLMs). Amazon Bedrock has helped democratize access to LLMs, which have been challenging to host and manage. Amazon Textract is polled to update the job status and written into Mongo DB.

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AWS Machine Learning - AI

NOVEMBER 22, 2024

Seamless integration of latest foundation models (FMs), Prompts, Agents, Knowledge Bases, Guardrails, and other AWS services. Reduced time and effort in testing and deploying AI workflows with SDK APIs and serverless infrastructure. Flexibility to define the workflow based on your business logic.

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Generative AI Artificial Inteligence Knowledge Base AWS 122

CIO

APRIL 25, 2025

By leveraging genAI assistants and large language models, AI search can interpret a user request and deliver results in a business context. Look for an open ecosystem that integrates with all the major AI foundation models and supports your own models so existing investments arent wasted.

Enterprise 124

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AWS Machine Learning - AI

OCTOBER 29, 2024

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. Organizations typically can’t predict their call patterns, so the solution relies on AWS serverless services to scale during busy times.

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AWS Machine Learning - AI

NOVEMBER 7, 2024

API Gateway is serverless and hence automatically scales with traffic. The advantage of using Application Load Balancer is that it can seamlessly route the request to virtually any managed, serverless or self-hosted component and can also scale well. It’s serverless so you don’t have to manage the infrastructure.

Generative AI 113

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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. The following diagram illustrates the end-to-end flow.

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AWS Machine Learning - AI

NOVEMBER 22, 2023

In addition, customers are looking for choices to select the most performant and cost-effective machine learning (ML) model and the ability to perform necessary customization (fine-tuning) to fit their business use cases. The LLM generated text, and the IR system retrieves relevant information from a knowledge base.

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AWS Machine Learning - AI

NOVEMBER 13, 2024

The Amazon Bedrock single API access, regardless of the models you choose, gives you the flexibility to use different FMs and upgrade to the latest model versions with minimal code changes. Amazon Titan FMs provide customers with a breadth of high-performing image, multimodal, and text model choices, through a fully managed API.

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AWS Machine Learning - AI

MARCH 4, 2025

Customizable Uses prompt engineering , which enables customization and iterative refinement of the prompts used to drive the large language model (LLM), allowing for refining and continuous enhancement of the assessment process. Brijesh specializes in AI/ML solutions and has experience with serverless architectures.

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Dzone - DevOps

APRIL 9, 2025

Amazon Web Services (AWS) provides an expansive suite of tools to help developers build and manage serverless applications with ease. In this article, we delve into serverless AI/ML on AWS, exploring best practices, implementation strategies, and an example to illustrate these concepts in action.

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Serverless Artificial Inteligence Scalability AWS 52

Xebia

APRIL 20, 2023

That’s right, folks; I replaced the Xebia leadership with artificial intelligence! The magic happens through a combination of Serverless, user input, a CloudFront distribution, a Lambda function, and the OpenAI API. The post How I replaced Xebia Leadership with Artificial Intelligence appeared first on Xebia.

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DevOps.com

AUGUST 23, 2020

However, although engineering resources may be slim, serverless offers new solutions to tackle the DevOps challenge. From improved IoT devices to cost-effective machine learning applications, the serverless ecosystem is […].

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AWS Machine Learning - AI

APRIL 3, 2024

In this post, we show how to build a contextual text and image search engine for product recommendations using the Amazon Titan Multimodal Embeddings model , available in Amazon Bedrock , with Amazon OpenSearch Serverless. Amazon SageMaker Studio – It is an integrated development environment (IDE) for machine learning (ML).

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AWS Machine Learning - AI

OCTOBER 31, 2024

The solution integrates large language models (LLMs) with your organization’s data and provides an intelligent chat assistant that understands conversation context and provides relevant, interactive responses directly within the Google Chat interface. Which LLM you want to use in Amazon Bedrock for text generation.

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AWS Machine Learning - AI

MAY 17, 2024

Generative AI is a type of artificial intelligence (AI) that can be used to create new content, including conversations, stories, images, videos, and music. Like all AI, generative AI works by using machine learning models—very large models that are pretrained on vast amounts of data called foundation models (FMs).

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AWS Machine Learning - AI

MARCH 5, 2025

These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques. To learn more about FMEval, see Evaluate large language models for quality and responsibility of LLMs.

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AWS Machine Learning - AI

JUNE 21, 2024

To accomplish this, eSentire built AI Investigator, a natural language query tool for their customers to access security platform data by using AWS generative artificial intelligence (AI) capabilities. Therefore, eSentire decided to build their own LLM using Llama 1 and Llama 2 foundational models.

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O'Reilly Media - Data

AUGUST 30, 2018

The O’Reilly Data Show Podcast: Eric Jonas on Pywren, scientific computation, and machine learning. Jonas and his collaborators are working on a related project, NumPyWren, a system for linear algebra built on a serverless architecture. Jonas is also affiliated with UC Berkeley’s RISE Lab.

Machine Learning 123

Machine Learning Artificial Inteligence Tools Serverless 123

DevOps.com

FEBRUARY 14, 2025

DataRobot,a provider of a platform for building artificial intelligence (AI) applications, this week acquired Agnostic, a provider of an open source distributed computing platform, dubbed Covalent, that will be integrated with its machine learning operations (MLOps) framework.

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AWS Machine Learning - AI

JANUARY 22, 2025

In this post, we demonstrate how we used Amazon Bedrock , a fully managed service that makes FMs from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case. Presently, his main area of focus is state-of-the-art natural language processing.

Network 111

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AWS Machine Learning - AI

JUNE 18, 2024

More than 170 tech teams used the latest cloud, machine learning and artificial intelligence technologies to build 33 solutions. Cost-effective – The solution should only invoke LLM to generate reusable code on an as-needed basis instead of manipulating the data directly to be as cost-effective as possible.

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AWS Machine Learning - AI

SEPTEMBER 3, 2024

From deriving insights to powering generative artificial intelligence (AI) -driven applications, the ability to efficiently process and analyze large datasets is a vital capability. That’s where the new Amazon EMR Serverless application integration in Amazon SageMaker Studio can help.

Serverless 117

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CIO

MAY 12, 2022

Predictive analytics tools blend artificial intelligence and business reporting. Full integration with AWS, third-party marketplace, serverless options. Composite AI mixes statistics and machine learning; industry-specific solutions. What are predictive analytics tools? On premises or in Alteryx cloud. Free trial.

Analytics 206

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AWS Machine Learning - AI

AUGUST 21, 2024

Amazon SageMaker Canvas is a no-code machine learning (ML) service that empowers business analysts and domain experts to build, train, and deploy ML models without writing a single line of code. You can extend this solution to generative artificial intelligence (AI) use cases as well.

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AWS Machine Learning - AI

NOVEMBER 22, 2024

Since Amazon Bedrock is serverless, you don’t have to manage any infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. It will be marked for deletion and will be deleted when all executions are stopped.

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AWS Machine Learning - AI

APRIL 29, 2025

For knowledge retrieval, we use Amazon Bedrock Knowledge Bases , which integrates with Amazon Simple Storage Service (Amazon S3) for document storage, and Amazon OpenSearch Serverless for rapid and scalable search capabilities. About the authors Cassandre Vandeputte is a Solutions Architect for AWS Public Sector based in Brussels.

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O'Reilly Media - Ideas

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. I will highlight the results of a recent survey on machine learning adoption, and along the way describe recent trends in data and machine learning (ML) within companies.

Machine Learning 111

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AWS Machine Learning - AI

AUGUST 2, 2024

Generative artificial intelligence (AI) is rapidly emerging as a transformative force, poised to disrupt and reshape businesses of all sizes and across industries. LLM chain service – This service orchestrates the solution by invoking the LLM models with a fitting prompt and creating the response that is returned to the user.

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Artificial Inteligence Generative AI Energy Knowledge Base 126

AWS Machine Learning - AI

JULY 29, 2024

In Part 3 , we demonstrate how business analysts and citizen data scientists can create machine learning (ML) models, without code, in Amazon SageMaker Canvas and deploy trained models for integration with Salesforce Einstein Studio to create powerful business applications.

Generative AI 123

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AWS Machine Learning - AI

JUNE 20, 2024

We used a large language model (LLM) with query examples to make the search work using the language used by Imperva internal users (business analysts). Data was made available to our users through a simplified user experience powered by an LLM. The response by the LLM is not deterministic.

Artificial Inteligence 115

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AWS Machine Learning - AI

JANUARY 29, 2025

However, even in a decentralized model, often LOBs must align with central governance controls and obtain approvals from the CCoE team for production deployment, adhering to global enterprise standards for areas such as access policies, model risk management, data privacy, and compliance posture, which can introduce governance complexities.

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AWS Machine Learning - AI

MARCH 13, 2025

Its serverless architecture allowed the team to rapidly prototype and refine their application without the burden of managing complex hardware infrastructure. Check out MaestroQAs feature AskAI and their LLM-powered AI Classifiers if youre interested in better understanding your customer conversations and survey scores.

Generative AI 113

Generative AI CTO Coach AWS Artificial Inteligence 113

Palo Alto Networks

OCTOBER 22, 2024

Real-time monitoring and anomaly detection systems powered by artificial intelligence and machine learning, capable of identifying and responding to threats in cloud environments within seconds. Leverage AI and machine learning to sift through large volumes of data and identify potential threats quickly.

Cloud 105

Cloud Artificial Inteligence Software Review Systems Review 105

AWS Machine Learning - AI

MAY 13, 2024

In part 1 of this blog series, we discussed how a large language model (LLM) available on Amazon SageMaker JumpStart can be fine-tuned for the task of radiology report impression generation. It’s serverless, so you don’t have to manage any infrastructure. It is time-consuming but, at the same time, critical.

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CIO

OCTOBER 31, 2024

And the Lithia Springs production site in Georgia was converted to a serverless environment, which reduced costs and improved the company’s carbon footprint. But I’d like to see more differentiation between advanced analytics, machine learning, and AI to better use and understand functions, areas of application, and potential.”

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