AWS Machine Learning - AI

NOVEMBER 19, 2024

Amazon Bedrock offers a serverless experience so you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using AWS tools without having to manage infrastructure. Deploy the AWS CDK project to provision the required resources in your AWS account.

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Knowledge Base Generative AI Technical Review Lambda 109

AWS Machine Learning - AI

MARCH 18, 2025

LLM analysis The integrated dataset is fed into an LLM specifically trained on medical and clinical trial data. Text processing and contextualization The transcribed text is then fed into an LLM trained on various healthcare datasets, including medical literature, clinical guidelines, and deidentified patient records. An AWS account.

Artificial Inteligence 113

Artificial Inteligence Technical Review Healthcare Systems Review 113

AWS Machine Learning - AI

MAY 1, 2025

By doing this, clients and servers can scale independently, making it a great fit for serverless orchestration powered by Lambda, AWS Fargate for Amazon ECS, or Fargate for Amazon EKS. You can deploy your model or LLM to SageMaker AI hosting services and get an endpoint that can be used for real-time inference.

Artificial Inteligence 117

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AWS Machine Learning - AI

MARCH 13, 2025

AWS AppConfig , a capability of AWS Systems Manager, is used to store each of the agents tool context data as a single configuration in a managed data store, to be sent to the Converse API tool request. For more information about when to use AWS Config, see AWS AppConfig use cases.

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Artificial Inteligence Lambda Travel Generative AI 95

AWS Machine Learning - AI

MAY 30, 2024

Because Amazon Bedrock is serverless, you don’t have to manage infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. AWS Prototyping developed an AWS Cloud Development Kit (AWS CDK) stack for deployment following AWS best practices.

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AWS Machine Learning - AI

APRIL 18, 2024

Tools like Terraform and AWS CloudFormation are pivotal for such transitions, offering infrastructure as code (IaC) capabilities that define and manage complex cloud environments with precision. AWS Landing Zone addresses this need by offering a standardized approach to deploying AWS resources.

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AWS Applications Lambda Knowledge Base 129

Cloud That

NOVEMBER 16, 2022

Steps to Create a Lambda Function. EC2 instances are the major AWS resources, in which applications’ data can be stored, run, and deployed. What if we want to send our running AWS Instances (servers) information to our team in form of logs for any purposes? Primary use cases for Lambda: Data processing. Conclusion.

Lambda 77

Lambda AWS Policies Resources 77

AWS Machine Learning - AI

MARCH 15, 2024

In addition to Amazon Bedrock, you can use other AWS services like Amazon SageMaker JumpStart and Amazon Lex to create fully automated and easily adaptable generative AI order processing agents. In this post, we show you how to build a speech-capable order processing agent using Amazon Lex, Amazon Bedrock, and AWS Lambda.

Generative AI 139

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AWS Machine Learning - AI

MAY 14, 2024

These models are pre-trained on massive datasets and, to sometimes fine-tuned with smaller sets of more task specific data. RLHF is a technique that combines rewards and comparisons, with human feedback to pre-train or fine-tune a machine learning (ML) model.

Generative AI 121

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AWS Machine Learning - AI

APRIL 22, 2025

Workshops, conferences, and training sessions serve as platforms for collaboration and knowledge sharing, where the attendees can understand the information being conveyed in real-time and in their preferred language. A serverless, event-driven workflow using Amazon EventBridge and AWS Lambda automates the post-event processing.

Media 82

Media Knowledge Base AWS Systems Review 82

Firemon

OCTOBER 4, 2022

AWS permission boundaries are confusing. AWS Copilot, a CLI for the containerized apps, adds IAM permission boundaries and more – Someday someone is going to use very small words and explain to me what IAM Permission Boundaries are. The official AWS documentation has a lot of detail , but is still kind of confusing.

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AWS Lambda Policies Resources 133

AWS Machine Learning - AI

NOVEMBER 30, 2023

The number of companies launching generative AI applications on AWS is substantial and building quickly, including adidas, Booking.com, Bridgewater Associates, Clariant, Cox Automotive, GoDaddy, and LexisNexis Legal & Professional, to name just a few. Innovative startups like Perplexity AI are going all in on AWS for generative AI.

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Generative AI AWS Artificial Inteligence Software Review 145

O'Reilly Media - Ideas

DECEMBER 5, 2018

Get hands-on training in Kubernetes, machine learning, blockchain, Python, management, and many other topics. Learn new topics and refine your skills with more than 120 new live online training courses we opened up for January and February on our online learning platform. Programming with Java Lambdas and Streams , January 22.

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Kaseya

MAY 13, 2021

In this blog, we’ll compare the three leading public cloud providers, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud. Amazon Web Services (AWS) Overview. A subsidiary of Amazon, AWS was launched in 2006 and offers on-demand cloud computing services on a metered, pay-as-you-go basis. Greater Security.

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AWS Machine Learning - AI

AUGUST 26, 2024

At AWS, we are transforming our seller and customer journeys by using generative artificial intelligence (AI) across the sales lifecycle. It will be able to answer questions, generate content, and facilitate bidirectional interactions, all while continuously using internal AWS and external data to deliver timely, personalized insights.

Generative AI 128

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Linux Academy

APRIL 19, 2019

AWS is one of the fastest growing cloud service platforms offered today. Whether you’re an experienced AWS user or just starting out, there’s always more to learn. Check out our newest AWS hands-on training content below! New AWS Courses. AWS Certified Solutions Architect – Professional 2019.

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CIO

JULY 18, 2024

We’re getting back into this frenetic spend mode that we saw in the early days of cloud,” observed James Greenfield, vice president of AWS Commerce Platform, at the FinOps X conference in San Diego in June. These chips are evolving rapidly to meet the demands of real-time inference and training. The heart of generative AI lies in GPUs.

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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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AWS Machine Learning - AI

APRIL 11, 2024

In this post, we discuss document classification using the Amazon Titan Multimodal Embeddings model to classify any document types without the need for training. The Amazon Titan Multimodal Embedding model was trained using the Euclidean L2 algorithm and therefore for best results the vector database used should support this algorithm.

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AWS Machine Learning - AI

MARCH 7, 2025

An AWS Batch job reads these documents, chunks them into smaller slices, then creates embeddings of the text chunks using the Amazon Titan Text Embeddings model through Amazon Bedrock and stores them in an Amazon OpenSearch Service vector database. Ryan Doty is a Solutions Architect Manager at AWS, based out of New York.

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Generative AI Technical Review Insurance Policies 101

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. John Canada, VP of Engineering at Asure.

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Generative AI Artificial Inteligence Metrics AWS 92

AWS Machine Learning - AI

SEPTEMBER 17, 2024

Generative artificial intelligence (AI) applications are commonly built using a technique called Retrieval Augmented Generation (RAG) that provides foundation models (FMs) access to additional data they didn’t have during training. The user can also directly submit prompt requests to API Gateway and obtain a response.

Generative AI 95

Generative AI AWS Applications Serverless 95

AWS Machine Learning - AI

DECEMBER 22, 2023

Amazon Lex supplies the natural language understanding (NLU) and natural language processing (NLP) interface for the open source LangChain conversational agent embedded within an AWS Amplify website. Amazon Lex then invokes an AWS Lambda handler for user intent fulfillment. ConversationIndexTable – Tracks the conversation state.

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AWS Machine Learning - AI

AUGUST 21, 2024

LLMs are a type of foundation model (FM) that have been pre-trained on vast amounts of text data. The following screenshot shows an example request prompt taken from the Amazon Bedrock playground on the AWS Management Console. The Lambda function runs the business logic to process the customer reviews within the input JSON file.

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AWS Machine Learning - AI

MAY 7, 2024

Solution overview The entire infrastructure of the solution is provisioned using the AWS Cloud Development Kit (AWS CDK), which is an infrastructure as code (IaC) framework to programmatically define and deploy AWS resources. Transcripts are then stored in the project’s S3 bucket under /transcriptions/TranscribeOutput/.

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Altexsoft

MAY 20, 2020

The list of top five fully-fledged solutions in alphabetical order is as follows : Amazon Web Service (AWS) IoT platform , Cisco IoT , Google Cloud IoT , IBM Watson IoT platform , and. AWS IoT Platform: the best place to build smart cities. In 2020, AWS was recognized as a leading IoT applications platform empowering smart cities.

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IoT Azure AWS Transportation 141

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. Learn new topics and refine your skills with more than 170 new live online training courses we opened up for March and April on the O'Reilly online learning platform. An Introduction to Amazon Machine Learning on AWS , March 6-7.

Artificial Inteligence 17

Artificial Inteligence Course Training Artificial Intelligence 17

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AWS Security Fundamentals , July 15.

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Course Training Artificial Inteligence Software Review 92

Cloud That

NOVEMBER 17, 2022

About AWS Textract. Steps to Setup AWS S3. Steps to Setup Amazon Lambda. About AWS Textract. Steps to Setup AWS S3. Step 1: Open AWS S3 Console. Steps to Setup Amazon Lambda. Step 1: Open Aws lambda console. textract-lambda). textract-lambda). Step 7: Add code in lambda.

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AWS Lambda Data Machine Learning 75

CIO

FEBRUARY 3, 2023

The biggest benefit, however, may be how RPA tools are “programmed,” or “trained” — a process by which the platforms’ robots “learn” watching business users click away. Manual intervention and tweaking is necessary during training. Moreover, the bots keep getting smarter, making training easier and edge cases less frequent.

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Tools Open Source Lambda Weak Development Team 218

AWS Machine Learning - AI

MAY 22, 2024

Pre-trained image captioning or visual question answering (VQA) models perform well on describing every-day images but can’t to capture the domain-specific nuances of ecommerce products needed to achieve satisfactory performance in all product categories. For details, see Creating an AWS account. medium instance and the Data Science 3.0

Fashion 136

Fashion Artificial Inteligence Generative AI AWS 136

Linux Academy

AUGUST 13, 2019

Getting AWS certified can be a daunting task, but luckily we’re in your corner and we’re going to help you pass. We offer tons of AWS content for the different exams, but this month the Cloud Practitioner will be our focus. First, you should determine why you want to get AWS certified. AWS’ own recommendations.

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AWS Machine Learning - AI

MAY 17, 2024

FMs are trained on a broad spectrum of generalized and unlabeled data. FMs and LLMs, even though they’re pre-trained, can continue to learn from data inputs or prompts during inference. The event starts an AWS Step Functions workflow. It invokes an AWS Lambda function with a token and waits for the token.

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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. A foundation model (FM) is an LLM that has undergone unsupervised pre-training on a corpus of text.

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AWS Machine Learning - AI

JULY 3, 2024

To answer this question, the AWS Generative AI Innovation Center recently developed an AI assistant for medical content generation. Amazon Lambda : to run the backend code, which encompasses the generative logic. In step 5, the lambda function triggers the Amazon Textract to parse and extract data from pdf documents.

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Artificial Inteligence Generative AI Lambda Healthcare 132

AWS Machine Learning - AI

AUGUST 26, 2024

AWS makes it possible for organizations of all sizes and developers of all skill levels to build and scale generative AI applications with security, privacy, and responsible AI. In this post, we dive into the architecture and implementation details of GenASL, which uses AWS generative AI capabilities to create human-like ASL avatar videos.

Generative AI 121

Generative AI AWS 3D Video 121

Linux Academy

MAY 2, 2019

Moving to AWS abstracts away the majority of these costs, replacing them with services that can automate them while drastically reducing costs. Longer term, applications that can be run using microservices, such as Lambda, can reduce costs even further. Moving databases to a managed service such as AWS RDS. Improving elasticity.

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