AWS Machine Learning - AI

APRIL 18, 2024

With Amazon Bedrock, teams can input high-level architectural descriptions and use generative AI to generate a baseline configuration of Terraform scripts. AWS Landing Zone architecture in the context of cloud migration AWS Landing Zone can help you set up a secure, multi-account AWS environment based on AWS best practices.

AWS 126

AWS Applications Lambda Knowledge Base 126

AWS Machine Learning - AI

NOVEMBER 27, 2024

Custom orchestrator overview Implemented by users as an AWS Lambda function, the Amazon Bedrock Agents custom orchestrator offers granular control over task planning, completion, and verification. Use Amazon Bedrock Agents built-in integrations with action groups, knowledge bases, and guardrails to streamline interactions.

Lambda 107

Lambda Generative AI AWS Knowledge Base 107

AWS Machine Learning - AI

APRIL 24, 2024

It uses the provided conversation history, action groups, and knowledge bases to understand the context and determine the necessary tasks. This is based on the instructions that are interpreted by the assistant as per the system prompt and user’s input. Additionally, you can access device historical data or device metrics.

Artificial Inteligence 128

Artificial Inteligence Lambda Knowledge Base IoT 128

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.

Software Review 102

Software Review Lambda Generative AI Artificial Inteligence 102

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. The Content Designer AWS Lambda function saves the input in Amazon OpenSearch Service in a questions bank index.

Artificial Inteligence 125

Artificial Inteligence Generative AI Knowledge Base Lambda 125

AWS Machine Learning - AI

OCTOBER 15, 2024

By using Amazon Bedrock Agents , action groups , and Amazon Bedrock Knowledge Bases , we demonstrate how to build a migration assistant application that rapidly generates migration plans, R-dispositions, and cost estimates for applications migrating to AWS.

Lambda 93

Lambda Knowledge Base AWS Generative AI 93

CIO

APRIL 25, 2023

Five years later, transformer architecture has evolved to create powerful models such as ChatGPT. ChatGPT was trained with 175 billion parameters; for comparison, GPT-2 was 1.5B (2019), Google’s LaMBDA was 137B (2021), and Google’s BERT was 0.3B (2018). GPT stands for generative pre-trained transformer.

Generative AI 174

Generative AI ChatGPT Artificial Inteligence Artificial Intelligence 174

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.

Generative AI 108

Generative AI Applications AWS Knowledge Base 108

AWS Machine Learning - AI

JUNE 26, 2024

You can now use Agents for Amazon Bedrock and Knowledge Bases for Amazon Bedrock to build specialized agents and AI-powered assistants that run actions based on natural language input prompts and your organization’s data. Both the action groups and knowledge base are optional and not required for the agent itself.

Artificial Inteligence 121

Artificial Inteligence Research Knowledge Base Applications 121

AWS Machine Learning - AI

OCTOBER 23, 2024

Built using Amazon Bedrock Knowledge Bases , Amazon Lex , and Amazon Connect , with WhatsApp as the channel, our solution provides users with a familiar and convenient interface. With the ability to continuously update and add to the knowledge base, AI applications stay current with the latest information.

Lambda 94

Lambda Knowledge Base Generative AI AWS 94

AWS Machine Learning - AI

MAY 14, 2024

The entire conversation in this use case, starting with generative AI and then bringing in human agents who take over, is logged so that the interaction can be used as part of the knowledge base. We also have another expert group providing feedback using Amazon SageMaker GroundTruth on completion quality for the RLHF based training.

Generative AI 113

Generative AI Artificial Inteligence AWS Applications 113

AWS Machine Learning - AI

NOVEMBER 27, 2024

The following diagram illustrates the end-to-end architecture, consisting of the metadata API layer, ingestion pipeline, embedding generation workflow, and frontend UI. The RDF is converted into text and loaded into an S3 bucket, which is accessed by Amazon Bedrock (4) as the source of the knowledge base.

Enterprise 100

Enterprise Artificial Inteligence Data Knowledge Base 100

AWS Machine Learning - AI

DECEMBER 22, 2023

Solution architecture The following diagram illustrates the solution architecture. Diagram 1: Solution Architecture Overview The agent’s response workflow includes the following steps: Users perform natural language dialog with the agent through their choice of web, SMS, or voice channels.

Generative AI 122

Generative AI Lambda AWS Technical Review 122

AWS Machine Learning - AI

DECEMBER 6, 2023

To create AI assistants that are capable of having discussions grounded in specialized enterprise knowledge, we need to connect these powerful but generic LLMs to internal knowledge bases of documents. Then we introduce you to a more versatile architecture that overcomes these limitations.

Artificial Inteligence 124

Artificial Inteligence Analytics Knowledge Base Lambda 124

AWS Machine Learning - AI

OCTOBER 24, 2024

They use the developer-provided instruction to create an orchestration plan and then carry out the plan by invoking company APIs and accessing knowledge bases using Retrieval Augmented Generation (RAG) to provide a final response to the end user. We use Amazon Bedrock Agents with two knowledge bases for this assistant.

Generative AI 93

Generative AI Artificial Inteligence Applications Knowledge Base 93

AWS Machine Learning - AI

SEPTEMBER 20, 2024

Amazon Bedrock agents use LLMs to break down tasks, interact dynamically with users, run actions through API calls, and augment knowledge using Amazon Bedrock Knowledge Bases. With just a few configuration steps, you can dramatically expand your chatbot’s knowledge base and capabilities, all while maintaining a streamlined UI.

Generative AI 104

Generative AI Lambda Applications AWS 104

AWS Machine Learning - AI

NOVEMBER 26, 2024

With Amazon Bedrock, you can create an agent in just a few quick steps by first selecting an FM and providing it access to your enterprise systems, knowledge bases, and actions to securely execute your APIs. These actions can be implemented in the cloud using AWS Lambda , or you can use local business logic with return of control.

Lambda 97

Lambda Virtualization AWS Generative AI 97

AWS Machine Learning - AI

NOVEMBER 7, 2024

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. 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.

Generative AI 111

Generative AI AWS Artificial Inteligence Enterprise 111

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.

Generative AI 132

Generative AI AWS Budget Artificial Inteligence 132

AWS Machine Learning - AI

OCTOBER 7, 2024

By harnessing the power of generative AI and Amazon Web Services (AWS) services Amazon Bedrock , Amazon Kendra , and Amazon Lex , this solution provides a sample architecture to build an intelligent Slack chat assistant that can streamline information access, enhance user experiences, and drive productivity and efficiency within organizations.

Generative AI 98

Generative AI Artificial Inteligence AWS Lambda 98

AWS Machine Learning - AI

SEPTEMBER 12, 2024

Architecture The solution uses Amazon API Gateway , AWS Lambda , Amazon RDS, Amazon Bedrock, and Anthropic Claude 3 Sonnet on Amazon Bedrock to implement the backend of the application. The following diagram illustrates the solution architecture. User authentication and authorization is done using Amazon Cognito.

Generative AI 127

Generative AI Healthcare Artificial Inteligence Insurance 127

AWS Machine Learning - AI

MAY 7, 2024

For a generative AI powered Live Meeting Assistant that creates post call summaries, but also provides live transcripts, translations, and contextual assistance based on your own company knowledge base, see our new LMA solution. Transcripts are then stored in the project’s S3 bucket under /transcriptions/TranscribeOutput/.

Artificial Inteligence 127

Artificial Inteligence Meeting AWS Generative AI 127

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.

Cloud 97

Cloud AWS Serverless Lambda 97

AWS Machine Learning - AI

AUGUST 26, 2024

Our internal AI sales assistant, powered by Amazon Q Business , will be available across every modality and seamlessly integrate with systems such as internal knowledge bases, customer relationship management (CRM), and more. We carefully choose models based on their specific capabilities and the requirements of each summary section.

Generative AI 122

Generative AI AWS Artificial Inteligence Technical Review 122

AWS Machine Learning - AI

JULY 30, 2024

Mediasearch Q Business supercharges the way you consume media files by using them as part of the knowledge base used by Amazon Q Business to generate reliable answers to user questions. Mediasearch Q Business builds on the Mediasearch solution powered by Amazon Kendra and enhances the search experience using Amazon Q Business.

Media 106

Media Lambda AWS Video 106

AWS Machine Learning - AI

APRIL 8, 2024

RAG allows models to tap into vast knowledge bases and deliver human-like dialogue for applications like chatbots and enterprise search assistants. Solution overview In this post, we demonstrate how to create a RAG-based application using LlamaIndex and an LLM. Download press releases to use as our external knowledge base.

Artificial Inteligence 122

Artificial Inteligence Applications Knowledge Base AWS 122

AWS Machine Learning - AI

MARCH 14, 2024

We use AWS Lambda as our orchestration function responsible for interacting with various data sources, LLMs and error correction based on the user query. The following figure illustrates this architecture. The following figures shows the step-by-step procedure of how a query is processed for the text-to-SQL pipeline.

Generative AI 123

Generative AI Artificial Inteligence Virtualization UI/UX 123

AWS Machine Learning - AI

SEPTEMBER 13, 2024

This could be Amazon Elastic Compute Cloud (Amazon EC2), AWS Lambda , AWS SDK , Amazon SageMaker notebooks, or your workstation if you are doing a quick proof of concept. The following diagram illustrates the solution architecture. For the purpose of this post, this code is running on a t3a.micro EC2 instance with Amazon Linux 2023.

Generative AI 87

Generative AI AWS Artificial Inteligence Technical Review 87

AWS Machine Learning - AI

SEPTEMBER 12, 2024

Llama 3 uses a decoder-only transformer architecture and new tokenizer that provides improved model performance with 128K size. RAG overview Retrieval-Augmented Generation (RAG) is a technique that enables the integration of external knowledge sources with FM. RAG involves three main steps: retrieval, augmentation, and generation.

Artificial Inteligence 128

Artificial Inteligence Applications Generative AI AWS 128

AWS Machine Learning - AI

OCTOBER 1, 2024

We demonstrate the process of integrating Anthropic Claude’s advanced natural language processing capabilities with the serverless architecture of Amazon Bedrock, enabling the deployment of a highly scalable and cost-effective solution. Solution overview The following diagram illustrates the architecture of the solution.

Serverless 84

Serverless Artificial Inteligence AWS Software Review 84

AWS Machine Learning - AI

OCTOBER 2, 2024

You can securely integrate and deploy generative AI capabilities into your applications using services such as AWS Lambda , enabling seamless data management, monitoring, and compliance (for more details, see Monitoring and observability ).

Generative AI 118

Generative AI Artificial Inteligence AWS Government 118

Cloud Conformity

MARCH 1, 2019

The framework underpins our entire platform and forms our Knowledge Base to ensure your cloud infrastructure is the most resilient, secure and efficient for your needs. Serverless architecture can be a great win for this pillar, as can the use of AWS Lambda and AWS CloudFront to reduce latency.

AWS 40

AWS Cloud Software Review Infrastructure 40

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. This solution uses Amazon Bedrock LLMs to find answers to questions from your knowledge base.

Knowledge Base 96

Knowledge Base Generative AI Artificial Inteligence Lambda 96

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.

Generative AI 103

Generative AI Applications Technical Review Software Review 103

AWS Machine Learning - AI

NOVEMBER 30, 2023

In September, we introduced a RAG capability, Knowledge Bases for Amazon Bedrock, that securely connects models to your proprietary data sources to supplement your prompts with more information so your applications deliver more relevant, contextual, and accurate responses. check availability of an item in the ERP inventory).

Generative AI 136

Generative AI AWS Artificial Inteligence Software Review 136

AWS Machine Learning - AI

NOVEMBER 20, 2024

The combination of retrieval augmented generation (RAG) and knowledge bases enhances automated response accuracy. The combination of retrieval-based and generation-based models in RAG allows for accessing databases and generating accurate and contextually relevant responses.

Knowledge Base 110

Knowledge Base Lambda Artificial Inteligence AWS 110

AWS Machine Learning - AI

OCTOBER 21, 2024

The agent can use company APIs and external knowledge through Retrieval Augmented Generation (RAG). In this second part, we dive into the architectural considerations and development lifecycle practices that can help you build robust, scalable, and secure intelligent agents.

Generative AI 89

Generative AI Artificial Inteligence Applications AWS 89