AWS Machine Learning - AI

NOVEMBER 1, 2024

As enterprises increasingly embrace generative AI , they face challenges in managing the associated costs. With demand for generative AI applications surging across projects and multiple lines of business, accurately allocating and tracking spend becomes more complex.

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AWS Machine Learning - AI

NOVEMBER 13, 2024

Recognizing this need, we have developed a Chrome extension that harnesses the power of AWS AI and generative AI services, including Amazon Bedrock , an AWS managed service to build and scale generative AI applications with foundation models (FMs).

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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

FEBRUARY 6, 2024

Accenture built a regulatory document authoring solution using automated generative AI that enables researchers and testers to produce CTDs efficiently. By extracting key data from testing reports, the system uses Amazon SageMaker JumpStart and other AWS AI services to generate CTDs in the proper format.

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AWS Machine Learning - AI

JULY 3, 2024

Generative AI and transformer-based large language models (LLMs) have been in the top headlines recently. These models demonstrate impressive performance in question answering, text summarization, code, and text generation. Amazon Lambda : to run the backend code, which encompasses the generative logic.

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AWS Machine Learning - AI

SEPTEMBER 12, 2024

Generative AI technology, such as conversational AI assistants, can potentially solve this problem by allowing members to ask questions in their own words and receive accurate, personalized responses. The following diagram illustrates the solution architecture.

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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

SEPTEMBER 6, 2024

In this post, we illustrate how Vidmob , a creative data company, worked with the AWS Generative AI Innovation Center (GenAIIC) team to uncover meaningful insights at scale within creative data using Amazon Bedrock. Use case overview Vidmob aims to revolutionize its analytics landscape with generative AI.

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AWS Machine Learning - AI

OCTOBER 21, 2024

Amazon Bedrock Agents help you accelerate generative AI application development by orchestrating multistep tasks. The agent can use company APIs and external knowledge through Retrieval Augmented Generation (RAG). Building agents that run tasks requires function definitions and Lambda functions.

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AWS Machine Learning - AI

OCTOBER 7, 2024

A generative AI Slack chat assistant can help address these challenges by providing a readily available, intelligent interface for users to interact with and obtain the information they need. The step-by-step workflow for the architecture is the following: The user sends a query such as What is the AWS Well-Architected Framework?

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AWS Machine Learning - AI

MARCH 15, 2024

Fortunately, with the advent of generative AI and large language models (LLMs) , it’s now possible to create automated systems that can handle natural language efficiently, and with an accelerated on-ramping timeline. Solution overview The following diagram illustrates our solution architecture. awscli>=1.29.57

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AWS Machine Learning - AI

OCTOBER 14, 2024

Amazon Bedrock Agents enable generative AI applications to perform multistep tasks across various company systems and data sources. Customers can build innovative generative AI applications using Amazon Bedrock Agents’ capabilities to intelligently orchestrate their application workflows.

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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

AUGUST 26, 2024

Prospecting, opportunity progression, and customer engagement present exciting opportunities to utilize generative AI, using historical data, to drive efficiency and effectiveness. Use case overview Using generative AI, we built Account Summaries by seamlessly integrating both structured and unstructured data from diverse sources.

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AWS Machine Learning - AI

MAY 15, 2024

To help advertisers more seamlessly address this challenge, Amazon Ads rolled out an image generation capability that quickly and easily develops lifestyle imagery, which helps advertisers bring their brand stories to life. Solution overview Figure 2 shows a simplified solution architecture for inferencing and model deployment.

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AWS Machine Learning - AI

OCTOBER 2, 2024

Large enterprises are building strategies to harness the power of generative AI across their organizations. Managing bias, intellectual property, prompt safety, and data integrity are critical considerations when deploying generative AI solutions at scale.

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AWS Machine Learning - AI

OCTOBER 24, 2024

Amazon Bedrock Agents helps you accelerate generative AI application development by orchestrating multistep tasks. The generative AI–based application builder assistant from this post will help you accomplish tasks through all three tiers. Create and associate an action group with an API schema and a Lambda function.

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AWS Machine Learning - AI

OCTOBER 29, 2024

To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. We walk you through our solution, detailing the core logic of the Lambda functions. Amazon S3 invokes the {stack_name}-create-batch-queue-{AWS-Region} Lambda function.

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AWS Machine Learning - AI

AUGUST 15, 2024

In turn, customers can ask a variety of questions and receive accurate answers powered by generative AI. The Content Designer AWS Lambda function saves the input in Amazon OpenSearch Service in a questions bank index. Amazon Lex forwards requests to the Bot Fulfillment Lambda function.

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AWS Machine Learning - AI

SEPTEMBER 17, 2024

This data is used to enrich the generative AI prompt to deliver more context-specific and accurate responses without continuously retraining the FM, while also improving transparency and minimizing hallucinations. The RAG Retrieval Lambda function stores conversation history for the user interaction in an Amazon DynamoDB table.

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AWS Machine Learning - AI

JULY 15, 2024

The inference pipeline is powered by an AWS Lambda -based multi-step architecture, which maximizes cost-efficiency and elasticity by running independent image analysis steps in parallel. Safety and correctness : The captions were generated responsibly, leveraging the guard-rails to ensure content moderation and relevancy.

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AWS Machine Learning - AI

DECEMBER 22, 2023

Generative AI agents are capable of producing human-like responses and engaging in natural language conversations by orchestrating a chain of calls to foundation models (FMs) and other augmenting tools based on user input. In this post, we demonstrate how to build a generative AI financial services agent powered by Amazon Bedrock.

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AWS Machine Learning - AI

NOVEMBER 19, 2024

With Amazon Bedrock and other AWS services, you can build a generative AI-based email support solution to streamline email management, enhancing overall customer satisfaction and operational efficiency. AI integration accelerates response times and increases the accuracy and relevance of communications, enhancing customer satisfaction.

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AWS Machine Learning - AI

JULY 11, 2024

This solution shows how Amazon Bedrock agents can be configured to accept cloud architecture diagrams, automatically analyze them, and generate Terraform or AWS CloudFormation templates. This solution uses Retrieval Augmented Generation (RAG) to ensure the generated scripts adhere to organizational needs and industry standards.

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AWS Machine Learning - AI

NOVEMBER 18, 2024

Recent enhancements in the field of generative AI , such as media generation technologies, are rapidly transforming the way businesses create and manipulate visual content. With that, it brings functionalities such as model customization, fine-tuning, and Retrieval Augmented Generation (RAG). Anthropic Claude 3.5

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AWS Machine Learning - AI

SEPTEMBER 20, 2024

In this post, we demonstrate how to use Amazon Bedrock Agents with a web search API to integrate dynamic web content in your generative AI application. Solution overview This solution uses Amazon Bedrock Agents with a web search capability that integrates external search APIs (SerpAPI and Tavily AI) with the agent.

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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. These applications are a focus point for our generative AI efforts.

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AWS Machine Learning - AI

SEPTEMBER 13, 2024

We aim to target and simplify them using generative AI with Amazon Bedrock. The application generates SQL queries based on the user’s input, runs them against an Athena database containing CUR data, and presents the results in a user-friendly format. The following diagram illustrates the solution architecture.

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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. Over 100 SOC analysts are now using AI Investigator models to analyze security data and provide rapid investigation conclusions.

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AWS Machine Learning - AI

MARCH 14, 2024

Generative artificial intelligence (generative AI) has enabled new possibilities for building intelligent systems. Recent improvements in Generative AI based large language models (LLMs) have enabled their use in a variety of applications surrounding information retrieval.

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AWS Machine Learning - AI

NOVEMBER 20, 2024

Using generative AI allows businesses to improve accuracy and efficiency in email management and automation. Solution overview The solution presented in this post responds automatically to email inquiries using the following solution architecture. A Lambda function retrieves the email content from Amazon S3.

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AWS Machine Learning - AI

AUGUST 13, 2024

Generative artificial intelligence (AI) provides an opportunity for improvements in healthcare by combining and analyzing structured and unstructured data across previously disconnected silos. Generative AI can help raise the bar on efficiency and effectiveness across the full scope of healthcare delivery.

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AWS Machine Learning - AI

APRIL 18, 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, Stability AI, and Amazon with 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

AUGUST 21, 2024

This post discusses how LLMs can be accessed through Amazon Bedrock to build a generative AI solution that automatically summarizes key information, recognizes the customer sentiment, and generates actionable insights from customer reviews.

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AWS Machine Learning - AI

NOVEMBER 18, 2024

The Step Functions state machine invokes AWS Lambda functions to get a findings summary and remediation steps through Amazon Bedrock. By using generative AI FMs on Amazon Bedrock, users can quickly analyze vast amounts of security data to identify patterns and anomalies that may indicate potential threats or breaches.

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AWS Machine Learning - AI

OCTOBER 25, 2024

Amazon Bedrock is a fully managed service that provides API access to foundation models (FMs) from Amazon and other leading AI startups. This approach is both architecturally and organizationally scalable, enabling Planview to rapidly develop and deploy new AI skills to meet the evolving needs of their customers.

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AWS Machine Learning - AI

OCTOBER 21, 2024

Generative AI adoption among various industries is revolutionizing different types of applications, including image editing. We use AWS Amplify , Amazon Cognito , Amazon API Gateway , AWS Lambda , and Amazon Bedrock with the Amazon Titan Image Generator G1 model to build an application to edit images using prompts.

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