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

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

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 12, 2024

Agmatix is an Agtech company pioneering data-driven solutions for the agriculture industry that harnesses advanced AI technologies, including generative AI, to expedite R&D processes, enhance crop yields, and advance sustainable agriculture. This post is co-written with Etzik Bega from Agmatix.

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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

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

NOVEMBER 26, 2024

In the field of generative AI , latency and cost pose significant challenges. Additionally, the growing demand for AI-powered applications has led to a high volume of calls to these LLMs, potentially exceeding budget constraints and creating financial pressures for organizations.

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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 solution is extensible, uses AWS AI and machine learning (ML) services, and integrates with multiple channels such as voice, web, and text (SMS).

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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. And now, with the new AWS generative AI capabilities, we are able to blow our customers minds with creative power they never thought possible.

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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

OCTOBER 21, 2024

Amazon Bedrock Agents help you accelerate generative AI application development by orchestrating multistep tasks. Either way, you can use the Amazon Bedrock console to quickly create a default AWS Lambda function to get started implementing your actions or tools. Sonnet or Anthropic’s Claude 3 Opus.

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AWS Machine Learning - AI

SEPTEMBER 12, 2024

Members are forced to learn and adapt to the system’s structure and terminology, rather than the system being designed to understand their natural language questions and provide relevant information seamlessly. A pre-configured prompt template is used to call the LLM and generate a user-friendly summarized response to the original question.

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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. We end with lessons learned. Watch this presentation to learn how you can start your project with JumpStart.

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Generative AI Artificial Inteligence Advertising Technical Review 118

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. This can be done with a Lambda layer or by using a specific AMI with the required libraries. 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

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. This can lead to productivity losses, frustration, and delays in decision-making.

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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

JULY 10, 2024

As the adoption of generative AI continues to grow, many organizations face challenges in efficiently developing and managing prompts. Before introducing the details of the new capabilities, let’s review how prompts are typically developed, managed, and used in a generative AI application.

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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

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. If required, the agent invokes one of two Lambda functions to perform a web search: SerpAPI for up-to-date events or Tavily AI for web research-heavy questions.

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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

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 27, 2024

Generative AI agents are designed to interact with their environment to achieve specific objectives, such as automating repetitive tasks and augmenting human capabilities. States are passed in the request schema from Amazon Bedrock Agents to the customer orchestrator handled through the Lambda function.

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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. This system uses AWS Lambda and Amazon DynamoDB to orchestrate a series of LLM invocations.

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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

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

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

NOVEMBER 27, 2024

The Amazon Bedrock agent forwards the details to an action group that invokes a Lambda function. Upon completion, the action group (Lambda function) sends the information back to the Amazon Bedrock agent, which then displays the status to the user. This gives your agent access to required services, such as Lambda.

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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.

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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

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

NOVEMBER 26, 2024

As AI technology continues to evolve, the capabilities of generative AI agents continue to expand, offering even more opportunities for you to gain a competitive edge. With Amazon Bedrock, you can build and scale generative AI applications with security, privacy, and responsible 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

OCTOBER 4, 2024

In the generative AI era, agents that simulate human actions and behaviors are emerging as a powerful tool for enterprises to create production-ready applications. Leveraging her expertise in Computer Vision and Deep Learning, she empowers customers to harness the power of the ML in AWS cloud efficiently.

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AWS Machine Learning - AI

FEBRUARY 9, 2024

Enterprises are seeking to quickly unlock the potential of generative AI by providing access to foundation models (FMs) to different lines of business (LOBs). To learn more about PrivateLink, see Use AWS PrivateLink to set up private access to Amazon Bedrock. steps – The steps requested (for Stability AI models).

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