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.

Generative AI 101

Generative AI Video Engineering Artificial Inteligence 101

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.

Artificial Intelligence 130

Artificial Intelligence Artificial Inteligence Leadership Lambda 130

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 […].

Serverless 145

Serverless DevOps Technology IoT 145

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 101

Generative AI AWS Enterprise Artificial Inteligence 101

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.

Generative AI 103

Generative AI Artificial Inteligence Knowledge Base AWS 103

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.

Generative AI 118

Generative AI Artificial Inteligence AWS Technical Review 118

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.

AWS 104

AWS Engineering Serverless eCommerce 104

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.

Artificial Inteligence 107

Artificial Inteligence Serverless Engineering Machine Learning 107

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.

Artificial Inteligence 69

Artificial Inteligence Artificial Intelligence Serverless Open Source 69

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.

Generative AI 113

Generative AI Lambda Applications AWS 113

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.

Generative AI 73

Generative AI Systems Review Software Review Artificial Inteligence 73

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 119

Machine Learning Artificial Inteligence Tools Serverless 119

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).

Generative AI 127

Generative AI Artificial Inteligence Systems Review Software Review 127

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.

Generative AI 94

Generative AI Technical Review Software Review Systems Review 94

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).

Serverless 114

Serverless Artificial Inteligence Engineering Generative AI 114

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.

Artificial Inteligence 111

Artificial Inteligence Generative AI AWS Serverless 111

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 100

Network Artificial Inteligence Machine Learning Serverless 100

CIO

MAY 8, 2024

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing.

Innovation 153

Innovation Artificial Inteligence Data Serverless 153

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

Machine Learning Artificial Inteligence Technical Review Company 111

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.

Generative AI 114

Generative AI Artificial Inteligence Technical Review AWS 114

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

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.”

Groups 133

Groups Systems Review Technical Review Serverless 133

Cloudera

DECEMBER 20, 2023

Cloudera is launching and expanding partnerships to create a new enterprise artificial intelligence “AI” ecosystem. In a stack including Cloudera Data Platform the applications and underlying models can also be deployed from the data management platform via Cloudera Machine Learning.

Artificial Inteligence 71

Artificial Inteligence Artificial Intelligence Enterprise Machine Learning 71

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 102

Serverless AWS Artificial Inteligence Big Data 102

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.

Artificial Inteligence 106

Artificial Inteligence Machine Learning Government Software Review 106

Dzone - DevOps

FEBRUARY 5, 2023

Welcome to our tutorial on deploying a machine learning (ML) model on Amazon Web Services (AWS) Lambda using Docker. In this tutorial, we will walk you through the process of packaging an ML model as a Docker container and deploying it on AWS Lambda, a serverless computing service. So, let’s get started!

Machine Learning 98

Machine Learning Artificial Inteligence Lambda AWS 98

Mentormate

MAY 31, 2023

In this article, we will discuss how MentorMate and our partner eLumen leveraged natural language processing (NLP) and machine learning (ML) for data-driven decision-making to tame the curriculum beast in higher education. Here, we will primarily focus on drawing insights from structured and unstructured (text) data.

Artificial Inteligence 98

Artificial Inteligence Machine Learning Education Analytics 98

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 109

Generative AI Artificial Inteligence Applications AWS 109

AWS Machine Learning - AI

MARCH 28, 2024

You can deploy this solution with just a few clicks using Amazon SageMaker JumpStart , a fully managed platform that offers state-of-the-art foundation models for various use cases such as content writing, code generation, question answering, copywriting, summarization, classification, and information retrieval. Create a question embedding.

Artificial Inteligence 125

Artificial Inteligence Generative AI AWS Load Balancer 125

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 100

Generative AI CTO Coach AWS Artificial Inteligence 100

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.

Generative AI 120

Generative AI Artificial Inteligence Report Healthcare 120

Apiumhub

DECEMBER 9, 2024

This is a single, integrated location that allows for a data warehouse, and large data processing. Also combines data integration with machine learning. This is designed for large-scale data storage, query optimization, and analytics. This is ideal for exploring data without moving it into a structured data warehouse.

Azure 91

Azure Analytics Storage Machine Learning 91

TechCrunch

MARCH 29, 2022

When Pinecone launched last year, the company’s message was around building a serverless vector database designed specifically for the needs of data scientists. This [format] is much more semantically rich and actionable for machine learning.

Data 216

Data Artificial Inteligence Serverless Machine Learning 216

AWS Machine Learning - AI

JULY 10, 2024

Imagine this—all employees relying on generative artificial intelligence (AI) to get their work done faster, every task becoming less mundane and more innovative, and every application providing a more useful, personal, and engaging experience. Read more about our commitments to responsible AI on the AWS Machine Learning Blog.

Artificial Inteligence 126

Artificial Inteligence AWS Generative AI Knowledge Base 126

Xebia

DECEMBER 13, 2024

Retrieval-Augmented Generation (RAG) is a key technique powering more broad and trustworthy application of large language models (LLMs). By integrating external knowledge sources, RAG addresses limitations of LLMs, such as outdated knowledge and hallucinated responses.

Google Cloud 130

Google Cloud Artificial Inteligence Cloud Scalability 130

AWS Machine Learning - AI

JANUARY 22, 2025

These services use advanced machine learning (ML) algorithms and computer vision techniques to perform functions like object detection and tracking, activity recognition, and text and audio recognition. He has helped multiple enterprises harness the power of AI and machine learning on AWS.

Generative AI 99

Generative AI Video Analysis Technical Review 99

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.

Artificial Inteligence 105

Artificial Inteligence Generative AI Energy Knowledge Base 105