AWS Machine Learning - AI

MARCH 20, 2025

Generative AI agents offer a powerful solution by automatically interfacing with company systems, executing tasks, and delivering instant insights, helping organizations scale operations without scaling complexity. The following diagram illustrates the generative AI agent solution workflow.

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AWS Machine Learning - AI

JANUARY 22, 2025

The following graphic is a simple example of Windows Server Console activity that could be captured in a video recording. AI services have revolutionized the way we process, analyze, and extract insights from video content. These prompts are crucial in determining the quality, relevance, and coherence of the output generated by the AI.

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AWS Machine Learning - AI

NOVEMBER 22, 2024

Companies across all industries are harnessing the power of generative AI to address various use cases. Cloud providers have recognized the need to offer model inference through an API call, significantly streamlining the implementation of AI within applications.

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AWS Machine Learning - AI

NOVEMBER 22, 2024

Today, we are excited to announce the general availability of Amazon Bedrock Flows (previously known as Prompt Flows). With Bedrock Flows, you can quickly build and execute complex generative AI workflows without writing code. Key benefits include: Simplified generative AI workflow development with an intuitive visual interface.

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AWS Machine Learning - AI

MARCH 5, 2025

Generative AI question-answering applications are pushing the boundaries of enterprise productivity. 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.

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AWS Machine Learning - AI

MARCH 7, 2025

At the forefront of using generative AI in the insurance industry, Verisks generative AI-powered solutions, like Mozart, remain rooted in ethical and responsible AI use. Security and governance Generative AI is very new technology and brings with it new challenges related to security and compliance.

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AWS Machine Learning - AI

JANUARY 29, 2025

Open foundation models (FMs) have become a cornerstone of generative AI innovation, enabling organizations to build and customize AI applications while maintaining control over their costs and deployment strategies. You can access your imported custom models on-demand and without the need to manage underlying infrastructure.

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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. Yasmine Rodriguez, CTO of Asure.

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AWS Machine Learning - AI

NOVEMBER 13, 2024

For example, searching for a specific red leather handbag with a gold chain using text alone can be cumbersome and imprecise, often yielding results that don’t directly match the user’s intent. Generate embeddings : Use Amazon Titan Multimodal Embeddings to generate embeddings for the stored images.

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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

NOVEMBER 14, 2024

This is where AWS and generative AI can revolutionize the way we plan and prepare for our next adventure. With the significant developments in the field of generative AI , intelligent applications powered by foundation models (FMs) can help users map out an itinerary through an intuitive natural conversation interface.

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AWS Machine Learning - AI

MAY 21, 2024

For several years, we have been actively using machine learning and artificial intelligence (AI) to improve our digital publishing workflow and to deliver a relevant and personalized experience to our readers. Storm serves as the front end for Nova, our serverless content management system (CMS).

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AWS Machine Learning - AI

MARCH 14, 2025

For example, your agent could take screenshots, create and edit text files, and run built-in Linux commands. Invoke the agent with a user query that requires computer use tools, for example, What is Amazon Bedrock, can you search the web? The output is given back to the Amazon Bedrock agent for further processing.

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AWS Machine Learning - AI

MAY 13, 2024

This is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API. It’s serverless, so you don’t have to manage any infrastructure.

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AWS Machine Learning - AI

MARCH 13, 2025

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies, such as AI21 Labs, Anthropic, Cohere, Meta, Mistral, 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.

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AWS Machine Learning - AI

JUNE 18, 2024

This post presents a solution that uses a generative artificial intelligence (AI) to standardize air quality data from low-cost sensors in Africa, specifically addressing the air quality data integration problem of low-cost sensors. It generates a Python function to convert data frames to a common data format.

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AWS Machine Learning - AI

AUGUST 26, 2024

The rise of foundation models (FMs), and the fascinating world of generative AI that we live in, is incredibly exciting and opens doors to imagine and build what wasn’t previously possible. Users can input audio, video, or text into GenASL, which generates an ASL avatar video that interprets the provided data.

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AWS Machine Learning - AI

MARCH 14, 2024

Generative AI applications driven by foundational models (FMs) are enabling organizations with significant business value in customer experience, productivity, process optimization, and innovations. In this post, we explore different approaches you can take when building applications that use generative AI.

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AWS Machine Learning - AI

FEBRUARY 14, 2024

With the advent of generative AI solutions, organizations are finding different ways to apply these technologies to gain edge over their competitors. Amazon Bedrock offers a choice of high-performing foundation models from leading AI companies, including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon, via a single API.

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CIO

JULY 18, 2024

The early bills for generative AI experimentation are coming in, and many CIOs are finding them more hefty than they’d like — some with only themselves to blame. CIOs are also turning to OEMs such as Dell Project Helix or HPE GreenLake for AI, IDC points out. The heart of generative AI lies in GPUs.

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AWS Machine Learning - AI

DECEMBER 11, 2024

Earlier this year, we published the first in a series of posts about how AWS is transforming our seller and customer journeys using generative AI. The following screenshot shows an example of an interaction with Field Advisor.

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AWS Machine Learning - AI

NOVEMBER 7, 2024

Generative AI has transformed customer support, offering businesses the ability to respond faster, more accurately, and with greater personalization. AI agents , powered by large language models (LLMs), can analyze complex customer inquiries, access multiple data sources, and deliver relevant, detailed responses.

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AWS Machine Learning - AI

NOVEMBER 19, 2024

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon Web Services 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. On the WorkMail console, navigate to the organization gaesas-stk-org-.

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AWS Machine Learning - AI

JANUARY 4, 2024

Generative AI has opened up a lot of potential in the field of AI. We are seeing numerous uses, including text generation, code generation, summarization, translation, chatbots, and more. Fine-tuning directly trains the model on the end task but requires many text-SQL examples. gymnast_id = t2.

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AWS Machine Learning - AI

JUNE 18, 2024

For example, a mortgage application may be over a thousand pages, but only a dozen or so data points critically impact the credit decision. This post explores how generative AI can make working with business documents and email attachments more straightforward. These samples demonstrate using various LLMs.

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AWS Machine Learning - AI

SEPTEMBER 6, 2024

For example, insights from creative data (advertising analytics) using campaign performance can not only uncover which creative works best but also help you understand the reasons behind its success. Use case overview Vidmob aims to revolutionize its analytics landscape with generative AI.

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AWS Machine Learning - AI

APRIL 3, 2024

Search engines and recommendation systems powered by generative AI can improve the product search experience exponentially by understanding natural language queries and returning more accurate results. Generate embeddings for the product images using the Amazon Titan Multimodal Embeddings model (amazon.titan-embed-image-v1).

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AWS Machine Learning - AI

JULY 29, 2024

Using Amazon Bedrock, you can quickly experiment with and evaluate top FMs for your use case, privately customize them with your data using techniques such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that execute tasks using your enterprise systems and data sources.

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Xebia

MAY 11, 2023

Introduction: With Bard and Vertex AI becoming publically available and accessible by Service Roles it was time to power a website using Google’s generative AI. The Technology: Google’s Generative AI is at the heart of the technology powering PaperCompany.io’s interactive platform.

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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. Results The following screenshot shows an example of eSentire’s AI Investigator output.

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AWS Machine Learning - AI

APRIL 10, 2025

With this launch, you can now access Mistrals frontier-class multimodal model to build, experiment, and responsibly scale your generative AI ideas on AWS. AWS is the first major cloud provider to deliver Pixtral Large as a fully managed, serverless model. We use the following prompt: prompt = """ You are a database designer.

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AWS Machine Learning - AI

JULY 15, 2024

It offers flexible capacity options, ranging from serverless on one end to reserved provisioned instances for predictable long-term use on the other. The emotions are used to help select a better tone to make it funnier or more nostalgic (for example). AWS enables us to scale the innovations our customers love most.

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AWS Machine Learning - AI

MAY 14, 2024

Recent advances in artificial intelligence have led to the emergence of generative AI that can produce human-like novel content such as images, text, and audio. An important aspect of developing effective generative AI application is Reinforcement Learning from Human Feedback (RLHF).

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AWS Machine Learning - AI

SEPTEMBER 18, 2024

Generative AI and large language models (LLMs) offer new possibilities, although some businesses might hesitate due to concerns about consistency and adherence to company guidelines. The personalized content is built using generative AI by following human guidance and provided sources of truth.

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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. For example, the following screenshot shows a time filter for UTC.2024-10-{01/00:00:00--02/00:00:00}.

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AWS Machine Learning - AI

AUGUST 28, 2024

Incorporating generative artificial intelligence (AI) into your development lifecycle can offer several benefits. For example, using an AI-based coding companion such as Amazon Q Developer can boost development productivity by up to 30 percent. For example, in Application name , enter anycompany-git-application.

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AWS Machine Learning - AI

OCTOBER 11, 2024

Some examples of AWS-sourced operational events include: AWS Health events — Notifications related to AWS service availability, operational issues, or scheduled maintenance that might affect your AWS resources. Figure – use case example 4 The following figure shows a more sophisticated use case.

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