AWS Machine Learning - AI

AUGUST 5, 2024

Included with Amazon Bedrock is Knowledge Bases for Amazon Bedrock. As a fully managed service, Knowledge Bases for Amazon Bedrock makes it straightforward to set up a Retrieval Augmented Generation (RAG) workflow. With Knowledge Bases for Amazon Bedrock, we first set up a vector database on AWS.

Knowledge Base 104

Knowledge Base Artificial Inteligence Programming Generative AI 104

AWS Machine Learning - AI

OCTOBER 31, 2024

Before processing the request, a Lambda authorizer function associated with the API Gateway authenticates the incoming message. After it’s authenticated, the request is forwarded to another Lambda function that contains our core application logic. Keep this blank if you decide not to use an existing knowledge base.

Generative AI 118

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AWS Machine Learning - AI

NOVEMBER 7, 2024

Amazon Bedrock Agents coordinates interactions between foundation models (FMs), knowledge bases, and user conversations. The agents also automatically call APIs to perform actions and access knowledge bases to provide additional information. The documents are chunked into smaller segments for more effective processing.

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Lambda Enterprise Automotive Knowledge Base 120

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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Software Review Lambda Generative AI Artificial Inteligence 97

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 91

Lambda Knowledge Base Generative AI AWS 91

AWS Machine Learning - AI

JULY 11, 2024

Diagram analysis and query generation : The Amazon Bedrock agent forwards the architecture diagram location to an action group that invokes an AWS Lambda. An AWS account with the appropriate IAM permissions to create Amazon Bedrock agents and knowledge bases, Lambda functions, and IAM roles.

Software Review 122

Software Review Infrastructure Lambda Generative AI 122

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 103

Lambda Generative AI AWS Knowledge Base 103

AWS Machine Learning - AI

APRIL 18, 2024

This standardization is made possible by using advanced prompts in conjunction with Knowledge Bases for Amazon Bedrock , which stores information on organization-specific Terraform modules. In parallel, the AVM layer invokes a Lambda function to generate Terraform code. For creating lambda function, please follow instructions.

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AWS Applications Lambda Knowledge Base 121

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. Choose Create knowledge base and enter a name and optional description.

Lambda 89

Lambda Knowledge Base AWS Generative AI 89

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 120

Artificial Inteligence Generative AI Knowledge Base Lambda 120

AWS Machine Learning - AI

NOVEMBER 27, 2024

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. A state machine in AWS Step Functions defines the workflow of the ingestion process by invoking AWS Lambda functions, as illustrated in the following figure.

Enterprise 92

Enterprise Artificial Inteligence Data Knowledge Base 92

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 121

Artificial Inteligence Lambda Knowledge Base IoT 121

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 74

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 92

Lambda Virtualization AWS Generative AI 92

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 89

Generative AI Artificial Inteligence Applications Knowledge Base 89

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 100

Generative AI Lambda Applications AWS 100

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.

Generative AI 103

Generative AI Applications AWS Knowledge Base 103

CIO

APRIL 25, 2023

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). ChatGPT’s conversational interface is a distinguished method of accessing its knowledge. These attributes make it possible for users to enquire about a broad set of information.

Generative AI 290

Generative AI ChatGPT Artificial Inteligence Artificial Intelligence 290

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 115

Artificial Inteligence Research Knowledge Base Applications 115

AWS Machine Learning - AI

OCTOBER 21, 2024

Amazon Bedrock Agents also provides you with traces , a detailed overview of the steps being orchestrated by the agents, the underlying prompts invoking the FM, the references being returned from the knowledge bases, and code being generated by the agent.

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Generative AI Artificial Inteligence Applications AWS 84

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 built the RAG solution as detailed in the following GitHub repo and used SageMaker documentation as the knowledge base.

Generative AI 108

Generative AI Artificial Inteligence AWS Applications 108

Perficient

AUGUST 20, 2024

Integration with AWS Services : Bedrock models seamlessly integrate with other AWS services, such as AWS Lambda, Amazon S3, and Amazon SageMaker. Let’s try to implement the Python AWS Lambda function that utilizes the AWS Bedrock’s Titan service to generate text based on an input prompt through a YAML-based cloud formation script.

AWS 52

AWS Artificial Inteligence Lambda Training 52

AWS Machine Learning - AI

DECEMBER 22, 2023

Amazon Lex then invokes an AWS Lambda handler for user intent fulfillment. The Lambda function associated with the Amazon Lex chatbot contains the logic and business rules required to process the user’s intent. A Lambda layer for Amazon Bedrock Boto3, LangChain, and pdfrw libraries. create-stack.sh

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Generative AI Lambda AWS Technical Review 116

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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Generative AI AWS Artificial Inteligence Budget 125

AWS Machine Learning - AI

OCTOBER 7, 2024

Further, the FAQ feature in Amazon Kendra complements the broader retrieval capabilities of the service, allowing the RAG system to seamlessly switch between providing prewritten FAQ responses and dynamically generating responses by querying the larger knowledge base. I can help you with queries based on the documents provided.

Generative AI 94

Generative AI Artificial Inteligence AWS Lambda 94

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 106

Generative AI AWS Artificial Inteligence Enterprise 106

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. To understand these limitations, let’s consider again the example of deciding where to invest based on financial reports.

Artificial Inteligence 119

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AWS Machine Learning - AI

SEPTEMBER 24, 2024

We will walk you through deploying and testing these major components of the solution: An AWS CloudFormation stack to set up an Amazon Bedrock knowledge base, where you store the content used by the solution to answer questions. This solution uses Amazon Bedrock LLMs to find answers to questions from your knowledge base.

Knowledge Base 92

Knowledge Base Generative AI Artificial Inteligence Lambda 92

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. For more information, see the pricing pages for Amazon Q Business , Amazon Kendra , Amazon Transcribe , Lambda , DynamoDB , and EventBridge.

Media 101

Media Lambda AWS Video 101

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 121

Artificial Inteligence Meeting Generative AI AWS 121

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 Policies 93

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. A pre-configured prompt template is used to call the LLM and generate a user-friendly summarized response to the original question.

Generative AI 122

Generative AI Healthcare Artificial Inteligence Insurance 122

AWS Machine Learning - AI

NOVEMBER 22, 2024

RAG and other possible integrations RAG is a strategy that enhances the output of a large language model (LLM) by allowing it to reference an authoritative external knowledge base, generating more accurate or secure responses. sync) pattern, which automatically waits for the completion of asynchronous jobs.

Generative AI 74

Generative AI AWS Technical Review Backup 74

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. Download press releases to use as our external knowledge base. Query the knowledge base. Deploy an embedding model from the Amazon SageMaker JumpStart hub.

Artificial Inteligence 118

Artificial Inteligence Applications Knowledge Base AWS 118

AWS Machine Learning - AI

JULY 10, 2024

Key benefits of prompt flows include: Intuitive visual builder – Drag and drop components to create a flow, linking prompts with other prompts, AI services, knowledge bases, and business logic. This feature allows you to link multiple FMs, prompts, and other AWS services, reducing development time and effort.

Generative AI 117

Generative AI Artificial Inteligence Development AWS 117

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. For the purpose of this post, this code is running on a t3a.micro EC2 instance with Amazon Linux 2023.

Generative AI 83

Generative AI AWS Artificial Inteligence Technical Review 83

AWS Machine Learning - AI

NOVEMBER 14, 2024

Solution overview This solution uses the Amazon Bedrock Knowledge Bases chat with document feature to analyze and extract key details from your invoices, without needing a knowledge base. We use Anthropic’s Claude 3 Sonnet model in Amazon Bedrock and Streamlit for building the application front-end.

Software Review 98

Software Review Technical Review AWS Artificial Inteligence 98