AWS Machine Learning - AI

APRIL 1, 2025

Whether youre an experienced AWS developer or just getting started with cloud development, youll discover how to use AI-powered coding assistants to tackle common challenges such as complex service configurations, infrastructure as code (IaC) implementation, and knowledge base integration.

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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. It can be a local machine or a cloud instance.

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AWS Machine Learning - AI

APRIL 1, 2025

AI agents extend large language models (LLMs) by interacting with external systems, executing complex workflows, and maintaining contextual awareness across operations. Whether youre connecting to external systems or internal data stores or tools, you can now use MCP to interface with all of them in the same way.

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AWS Machine Learning - AI

MARCH 18, 2025

This is where the integration of cutting-edge technologies, such as audio-to-text translation and large language models (LLMs), holds the potential to revolutionize the way patients receive, process, and act on vital medical information. These insights can include: Potential adverse event detection and reporting.

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AWS Machine Learning - AI

MARCH 4, 2025

Building cloud infrastructure based on proven best practices promotes security, reliability and cost efficiency. To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. This systematic approach leads to more reliable and standardized evaluations.

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AWS Machine Learning - AI

NOVEMBER 22, 2024

Seamless integration of latest foundation models (FMs), Prompts, Agents, Knowledge Bases, Guardrails, and other AWS services. Flexibility to define the workflow based on your business logic. Knowledge base node : Apply guardrails to responses generated from your knowledge base.

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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 following diagram illustrates the solution architecture and workflow. Create an Amazon Lex bot.

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Knowledge Base Artificial Inteligence Generative AI AWS 124

AWS Machine Learning - AI

FEBRUARY 19, 2024

Chatbots also offer valuable data-driven insights into customer behavior while scaling effortlessly as the user base grows; therefore, they present a cost-effective solution for engaging customers. Chatbots use the advanced natural language capabilities of large language models (LLMs) to respond to customer questions.

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AWS Machine Learning - AI

SEPTEMBER 25, 2024

In the realm of generative artificial intelligence (AI) , Retrieval Augmented Generation (RAG) has emerged as a powerful technique, enabling foundation models (FMs) to use external knowledge sources for enhanced text generation. Latest innovations in Amazon Bedrock Knowledge Base provide a resolution to this issue.

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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. Who does GDPR apply to?

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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.

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Cloudera

NOVEMBER 1, 2023

And so we are thrilled to introduce our latest applied ML prototype (AMP) — a large language model (LLM) chatbot customized with website data using Meta’s Llama2 LLM and Pinecone’s vector database.

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AWS Machine Learning - AI

OCTOBER 29, 2024

We have built a custom observability solution that Amazon Bedrock users can quickly implement using just a few key building blocks and existing logs using FMs, Amazon Bedrock Knowledge Bases , Amazon Bedrock Guardrails , and Amazon Bedrock Agents. versions, catering to different programming preferences.

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Generative AI Applications AWS Knowledge Base 109

Perficient

NOVEMBER 20, 2024

Introduction to Multiclass Text Classification with LLMs Multiclass text classification (MTC) is a natural language processing (NLP) task where text is categorized into multiple predefined categories or classes. Traditional approaches rely on training machine learning models, requiring labeled data and iterative fine-tuning.

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AWS Machine Learning - AI

JULY 2, 2024

In November 2023, we announced Knowledge Bases for Amazon Bedrock as generally available. Knowledge bases allow Amazon Bedrock users to unlock the full potential of Retrieval Augmented Generation (RAG) by seamlessly integrating their company data into the language model’s generation process.

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AWS Machine Learning - AI

MARCH 18, 2025

Today, generative AI can help bridge this knowledge gap for nontechnical users to generate SQL queries by using a text-to-SQL application. This application allows users to ask questions in natural language and then generates a SQL query for the users request. However, off-the-shelf LLMs cant be used without some modification.

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AWS Machine Learning - AI

MARCH 20, 2025

Traditionally, transforming raw data into actionable intelligence has demanded significant engineering effort. It often requires managing multiple machine learning (ML) models, designing complex workflows, and integrating diverse data sources into production-ready formats.

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CIO

MARCH 18, 2024

SAP and Nvidia announced an expanded partnership today with an eye to deliver the accelerated computing that customers need in order to adopt large language models (LLMs) and generative AI at scale. We wanted to design it in a way that customers don’t have to care about complexity,” he said.

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AWS Machine Learning - AI

NOVEMBER 7, 2024

Depending on the use case and data isolation requirements, tenants can have a pooled knowledge base or a siloed one and implement item-level isolation or resource level isolation for the data respectively. You can also bring your own customized models and deploy them to Amazon Bedrock for supported architectures.

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AWS Machine Learning - AI

APRIL 23, 2024

Generative artificial intelligence (AI) has gained significant momentum with organizations actively exploring its potential applications. However, to unlock the long-term success and viability of these AI-powered solutions, it is crucial to align them with well-established architectural principles.

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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 resulting distilled models, such as DeepSeek-R1-Distill-Llama-8B (from base model Llama-3.1-8B

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AWS Machine Learning - AI

DECEMBER 11, 2024

When Amazon Q Business became generally available in April 2024, we quickly saw an opportunity to simplify our architecture, because the service was designed to meet the needs of our use caseto provide a conversational assistant that could tap into our vast (sales) domain-specific knowledge bases.

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AWS Machine Learning - AI

NOVEMBER 15, 2024

As Principal grew, its internal support knowledge base considerably expanded. Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles.

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AWS Machine Learning - AI

DECEMBER 4, 2024

The following diagram illustrates the conceptual architecture of an AI assistant with Amazon Bedrock IDE. Solution architecture The architecture in the preceding figure shows how Amazon Bedrock IDE orchestrates the data flow. Choose Create new Knowledge Base and enter a name for your new knowledge base.

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AWS Machine Learning - AI

NOVEMBER 1, 2024

Although tagging is supported on a variety of Amazon Bedrock resources —including provisioned models, custom models, agents and agent aliases, model evaluations, prompts, prompt flows, knowledge bases, batch inference jobs, custom model jobs, and model duplication jobs—there was previously no capability for tagging on-demand foundation models.

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AWS Machine Learning - AI

FEBRUARY 8, 2024

At the forefront of this evolution sits Amazon Bedrock , a fully managed service that makes high-performing foundation models (FMs) from Amazon and other leading AI companies available through an API. The following demo recording highlights Agents and Knowledge Bases for Amazon Bedrock functionality and technical implementation details.

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AWS Machine Learning - AI

APRIL 22, 2025

Seamless live stream acquisition The solution begins with an IP-enabled camera capturing the live event feed, as shown in the following section of the architecture diagram. Post-event processing and knowledge base indexing After the event concludes, recorded media and transcriptions are securely stored in Amazon S3 for further analysis.

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AWS Machine Learning - AI

JANUARY 29, 2025

An operating model defines the organizational design, core processes, technologies, roles and responsibilities, governance structures, and financial models that drive a businesss operations. In this post, we evaluate different generative AI operating model architectures that could be adopted.

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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.

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CIO

NOVEMBER 1, 2024

As part of MMTech’s unifying strategy, Beswick chose to retire the data centers and form an “enterprisewide architecture organization” with a set of standards and base layers to develop applications and workloads that would run on the cloud, with AWS as the firm’s primary cloud provider.

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AWS Machine Learning - AI

AUGUST 15, 2024

QnABot on AWS (an AWS Solution) now provides access to Amazon Bedrock foundational models (FMs) and Knowledge Bases for Amazon Bedrock , a fully managed end-to-end Retrieval Augmented Generation (RAG) workflow. Deploying the QnABot solution builds the following environment in the AWS Cloud.

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CIO

APRIL 25, 2023

A transformer is a type of AI deep learning model that was first introduced by Google in a research paper in 2017. Five years later, transformer architecture has evolved to create powerful models such as ChatGPT. ChatGPT’s conversational interface is a distinguished method of accessing its knowledge.

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CIO

APRIL 12, 2024

prides itself in delivering “legendary” customer service, and it has turned to artificial intelligence to assist with that goal. Explaining life out here The Hey GURA assistant includes a wide-ranging “life out here” knowledge base, echoing Tractor Supply’s corporate brand message. Tractor Supply Co.

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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. Evaluating LLMs is an undervalued part of the machine learning (ML) pipeline.

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AWS Machine Learning - AI

SEPTEMBER 24, 2024

It’s a fully serverless architecture that uses Amazon OpenSearch Serverless , which can run petabyte-scale workloads, without you having to manage the underlying infrastructure. The following diagram illustrates the solution architecture. An optional CloudFormation stack to enable an asynchronous LLM hallucination detection feature.

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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. However, their knowledge is static and tied to the data used during the pre-training phase. The following diagram illustrates this architecture.

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AWS Machine Learning - AI

DECEMBER 18, 2024

Enterprises that have adopted ServiceNow can improve their operations and boost user productivity by using Amazon Q Business for various use cases, including incident and knowledge management. In Response settings under Application guardrails , select Allow Amazon Q to fall back to LLM knowledge.

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