AWS Machine Learning - AI

NOVEMBER 6, 2024

In this post, we share how Hearst , one of the nation’s largest global, diversified information, services, and media companies, overcame these challenges by creating a self-service generative AI conversational assistant for business units seeking guidance from their CCoE.

Generative AI 92

Generative AI Government Technical Review Innovation 92

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.

Generative AI 74

Generative AI AWS Technical Review Backup 74

AWS Machine Learning - AI

NOVEMBER 22, 2024

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. Flexibility to define the workflow based on your business logic.

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AWS Machine Learning - AI

JANUARY 29, 2025

Generative AI can revolutionize organizations by enabling the creation of innovative applications that offer enhanced customer and employee experiences. In this post, we evaluate different generative AI operating model architectures that could be adopted.

Generative AI 75

Generative AI Organization Enterprise Artificial Inteligence 75

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.

Generative AI 94

Generative AI Systems Review System Lambda 94

AWS Machine Learning - AI

APRIL 23, 2024

Aligning generative AI applications with this framework is essential for several reasons, including providing scalability, maintaining security and privacy, achieving reliability, optimizing costs, and streamlining operations. Now, let’s dive deep into the new features launched within Knowledge Bases for Amazon Bedrock.

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AWS Machine Learning - AI

JULY 3, 2024

Knowledge Bases for Amazon Bedrock is a fully managed capability that helps you securely connect foundation models (FMs) in Amazon Bedrock to your company data using Retrieval Augmented Generation (RAG). In the following sections, we demonstrate how to create a knowledge base with guardrails.

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Knowledge Base Artificial Inteligence Generative AI AWS 116

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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Lambda Enterprise Automotive Knowledge Base 115

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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Generative AI Technical Review Insurance Policies 77

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.

Generative AI 116

Generative AI Artificial Inteligence AWS Serverless 116

AWS Machine Learning - AI

JULY 1, 2024

Generative artificial intelligence (AI)-powered chatbots play a crucial role in delivering human-like interactions by providing responses from a knowledge base without the involvement of live agents. The generative AI capability of QnAIntent in Amazon Lex lets you securely connect FMs to company data for RAG.

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Knowledge Base Artificial Inteligence Generative AI AWS 111

AWS Machine Learning - AI

MAY 31, 2024

Amazon Bedrock is a fully managed service that makes foundational models (FMs) from leading artificial intelligence (AI) companies and Amazon available through an API, so you can choose from a wide range of FMs to find the model that’s best suited for your use case. The following diagram depicts a high-level RAG architecture.

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Knowledge Base Artificial Inteligence AWS Serverless 119

AWS Machine Learning - AI

AUGUST 5, 2024

An end-to-end RAG solution involves several components, including a knowledge base, a retrieval system, and a generation system. Solution overview The solution provides an automated end-to-end deployment of a RAG workflow using Knowledge Bases for Amazon Bedrock. txt,md,html,doc/docx,csv,xls/.xlsx,pdf).

Knowledge Base 113

Knowledge Base AWS Generative AI Machine Learning 113

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

FEBRUARY 29, 2024

Amazon Bedrock provides a broad range of models from Amazon and third-party providers, including Anthropic, AI21, Meta, Cohere, and Stability AI, and covers a wide range of use cases, including text and image generation, embedding, chat, high-level agents with reasoning and orchestration, and more.

Knowledge Base 125

Knowledge Base Artificial Inteligence Study AWS 125

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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Generative AI Artificial Inteligence Metrics AWS 69

AWS Machine Learning - AI

FEBRUARY 19, 2024

One way to enable more contextual conversations is by linking the chatbot to internal knowledge bases and information systems. Integrating proprietary enterprise data from internal knowledge bases enables chatbots to contextualize their responses to each user’s individual needs and interests.

Knowledge Base 108

Knowledge Base Artificial Inteligence Applications Lambda 108

AWS Machine Learning - AI

MARCH 1, 2024

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With a knowledge base, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG).

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Knowledge Base Artificial Inteligence AWS Generative AI 120

AWS Machine Learning - AI

FEBRUARY 8, 2024

Generative AI agents are a versatile and powerful tool for large enterprises. These agents excel at automating a wide range of routine and repetitive tasks, such as data entry, customer support inquiries, and content generation. System integration – Agents make API calls to integrated company systems to run specific actions.

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Knowledge Base Insurance Lambda AWS 131

AWS Machine Learning - AI

SEPTEMBER 25, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing FMs from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, 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.

Knowledge Base 107

Knowledge Base Artificial Inteligence Analysis AWS 107

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 diagram illustrates Field Advisors high-level architecture: Solution overview We built Field Advisor using the built-in capabilities of Amazon Q Business.

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AWS Generative AI Technical Review Artificial Inteligence 85

AWS Machine Learning - AI

AUGUST 5, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. and the AWS SDK for Python (Boto3).

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Knowledge Base Artificial Inteligence Programming AWS 96

Dzone - DevOps

JULY 1, 2024

In this blog, we will use the AWS Generative AI Constructs Library to deploy a complete RAG application composed of the following components: Knowledge Bases for Amazon Bedrock : This is the foundation for the RAG solution. An S3 bucket: This will act as the data source for the Knowledge Base.

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Generative AI Construction AWS Knowledge Base 95

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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Generative AI Artificial Inteligence Report Healthcare 117

AWS Machine Learning - AI

SEPTEMBER 24, 2024

With a user base of over 37 million active consumers and 2 million monthly active Dashers at the end of 2023, the company recognized the need to reduce the burden on its live agents by providing a more efficient self-service experience for Dashers. This solution uses Amazon Bedrock LLMs to find answers to questions from your knowledge base.

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Knowledge Base Generative AI Artificial Inteligence Lambda 89

AWS Machine Learning - AI

AUGUST 28, 2024

The complexity of developing and deploying an end-to-end RAG solution involves several components, including a knowledge base, retrieval system, and generative language model. Solution overview The solution provides an automated end-to-end deployment of a RAG workflow using Knowledge Bases for Amazon Bedrock.

Knowledge Base 82

Knowledge Base AWS Generative AI Machine Learning 82

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

MAY 9, 2024

In this post, we describe the development of the customer support process in FAST incorporating generative AI, the data, the architecture, and the evaluation of the results. Conversational AI assistants are rapidly transforming customer and employee support. However, they understood that this was not a one-and-done effort.

Generative AI 124

Generative AI Artificial Inteligence Technical Review Development Team Review 124

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).

Generative AI 101

Generative AI Artificial Inteligence AWS Applications 101

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.

Generative AI 106

Generative AI Artificial Inteligence Fractional CTO Guidelines 106

AWS Machine Learning - AI

OCTOBER 24, 2024

These agentic workflows decompose the natural language query-based tasks into multiple actionable steps with iterative feedback loops and self-reflection to produce the final result using tools and APIs. Amazon Bedrock Agents helps you accelerate generative AI application development by orchestrating multistep tasks.

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Generative AI Artificial Inteligence Applications Knowledge Base 84

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. These filters need to be added and updated manually for each query.

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Network Artificial Inteligence Machine Learning Serverless 98

AWS Machine Learning - AI

JULY 10, 2024

They need a full range of capabilities to build and scale generative AI applications that are tailored to their business and use case —including apps with built-in generative AI, tools to rapidly experiment and build their own generative AI apps, a cost-effective and performant infrastructure, and security controls and guardrails.

Artificial Inteligence 123

Artificial Inteligence AWS Generative AI Knowledge Base 123

AWS Machine Learning - AI

OCTOBER 11, 2024

The assistant can filter out irrelevant events (based on your organization’s policies), recommend actions, create and manage issue tickets in integrated IT service management (ITSM) tools to track actions, and query knowledge bases for insights related to operational events. It has several key components.

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Cloud AWS Serverless Lambda 88

AWS Machine Learning - AI

SEPTEMBER 26, 2024

Without a mechanism to manage this knowledge transfer gap, productivity across all phases of the lifecycle might suffer from losing expert knowledge and repeating past mistakes. Generative AI is a modern form of machine learning (ML) that has recently shown significant gains in reasoning, content comprehension, and human interaction.

Artificial Inteligence 93

Artificial Inteligence Generative AI Knowledge Base AWS 93

AWS Machine Learning - AI

JUNE 26, 2024

This post is a follow-up to Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets. This blog is part of the series, Generative AI and AI/ML in Capital Markets and Financial Services.

Artificial Inteligence 113

Artificial Inteligence Research Knowledge Base Applications 113

AWS Machine Learning - AI

NOVEMBER 22, 2023

The financial service (FinServ) industry has unique generative AI requirements related to domain-specific data, data security, regulatory controls, and industry compliance standards. RAG is a framework for improving the quality of text generation by combining an LLM with an information retrieval (IR) system.

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