AWS Machine Learning Blog

OCTOBER 5, 2023

In this post, we walk through how to fine-tune Llama 2 on AWS Trainium , a purpose-built accelerator for LLM training, to reduce training times and costs. We review the fine-tuning scripts provided by the AWS Neuron SDK (using NeMo Megatron-LM), the various configurations we used, and the throughput results we saw.

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AWS Machine Learning Blog

DECEMBER 12, 2023

In this post, we’ll summarize training procedure of GPT NeoX on AWS Trainium , a purpose-built machine learning (ML) accelerator optimized for deep learning training. M tokens/$) trained such models with AWS Trainium without losing any model quality. We’ll outline how we cost-effectively (3.2 billion in Pythia.

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AWS Machine Learning Blog

OCTOBER 4, 2023

Documentation Templates and Rules (DTR) – This allows providers to download smart questionnaires and rules, such as Clinical Quality Language (CQL), and provides a SMART on FHIR app or EHR app that runs the questionnaires and rules to gather information relevant to a performed or planned service.

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Flipboard

JUNE 26, 2023

In this post, we look at how we can use AWS Glue and the AWS Lake Formation ML transform FindMatches to harmonize (deduplicate) customer data coming from different sources to get a complete customer profile to be able to provide better customer experience. Run the AWS Glue ML transform job.

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AWS Machine Learning Blog

MAY 3, 2023

AWS, Arm, Meta and others helped optimize the performance of PyTorch 2.0 As a result, we are delighted to announce that AWS Graviton-based instance inference performance for PyTorch 2.0 times the speed for BERT, making Graviton-based instances the fastest compute optimized instances on AWS for these models. is up to 3.5

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AWS Machine Learning Blog

APRIL 7, 2023

To reduce the barrier to entry of ML at the edge, we wanted to demonstrate an example of deploying a pre-trained model from Amazon SageMaker to AWS Wavelength , all in less than 100 lines of code. In this post, we demonstrate how to deploy a SageMaker model to AWS Wavelength to reduce model inference latency for 5G network-based applications.

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AWS Machine Learning Blog

FEBRUARY 1, 2023

In late 2022, AWS announced the general availability of Amazon EC2 Trn1 instances powered by AWS Trainium —a purpose-built machine learning (ML) accelerator optimized to provide a high-performance, cost-effective, and massively scalable platform for training deep learning models in the cloud. 32xlarge instances.

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Mlearning.ai

DECEMBER 22, 2023

You can jump AWS authentication steps if you're already in AWS 's environment. You can jump AWS authentication steps if you're already in AWS 's environment. Setup Development Environment In this tutorial, we are using a Python notebook outside of Sagemaker studio. You can find here more about it.

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AWS Machine Learning Blog

SEPTEMBER 13, 2023

In this post, we use Amazon Comprehend and other AWS services to analyze and extract new insights from a repository of documents. To begin, we gather the data to be analyzed and load it into an Amazon Simple Storage Service (Amazon S3) bucket in an AWS account. This file needs to be download and converted to a non-compressed format.

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AWS Machine Learning Blog

AUGUST 30, 2023

This post demonstrates a strategy for fine-tuning publicly available LLMs for the task of radiology report summarization using AWS services. Prerequisites To get started, you need an AWS account in which you can use SageMaker Studio. You will need to create a user profile for SageMaker Studio if you don’t already have one.

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AWS Machine Learning Blog

JANUARY 22, 2024

When the image gets saved in the S3 bucket, it invokes an AWS Step Functions workflow: The Queries-Decider AWS Lambda function examines the document passed in and adds information about the mime type, the number of pages, and the number of queries to the Step Functions workflow (for our example, we have four queries).

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AWS Machine Learning Blog

APRIL 18, 2024

It’s straightforward to deploy in your AWS account. Prerequisites You need to have an AWS account and an AWS Identity and Access Management (IAM) role and user with permissions to create and manage the necessary resources and components for this application. Everything you need is provided as open source in our GitHub repo.

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AWS Machine Learning Blog

AUGUST 30, 2023

Powered by Amazon Lex , the QnABot on AWS solution is an open-source, multi-channel, multi-language conversational chatbot. This is why QnABot also integrates with any other LLM using an AWS Lambda function that you provide. QnABot can retrieve relevant passages from an Amazon Kendra index (containing AWS documentation).

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AWS Machine Learning Blog

MARCH 8, 2023

This post shows a way to do this using Snowflake as the data source and by downloading the data directly from Snowflake into a SageMaker Training job instance. We create a custom training container that downloads data directly from the Snowflake table into the training instance rather than first downloading the data into an S3 bucket.

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AWS Machine Learning Blog

MARCH 21, 2023

This post shows how you can use code stored in AWS CodeCommit in the Data Wrangler custom transform step. Create a CodeCommit repository For this post, we use an AWS CloudFormation template to set up a CodeCommit repository and copy the required files into this repository. Enter a name for the repository to be created for RepoName.

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AWS Machine Learning Blog

AUGUST 1, 2023

With the power of state-of-the-art techniques, the creative agency can support their customer by using generative AI models within their secure AWS environment. AWS has also developed hardware and chips using AWS Inferentia2 for high performance at the lowest cost for generative AI inference. to the local directory as tar.gz

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AWS Machine Learning Blog

MARCH 25, 2024

Amazon Transcribe is an AWS service that allows customers to convert speech to text in either batch or streaming mode. AWS is responsible for protecting the global infrastructure that runs all of the AWS Cloud. This content includes the security configuration and management tasks for the AWS services that you use.

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AWS Machine Learning Blog

FEBRUARY 20, 2024

With an aim to accelerate the localization of content workflows through machine learning, ZOO Digital engaged AWS Prototyping, an investment program by AWS to co-build workloads with customers. This S3 bucket was configured to emit an event when new files are detected within it, triggering an AWS Lambda function.

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AWS Machine Learning Blog

DECEMBER 12, 2023

The launch of ChatGPT and rise in popularity of generative AI have captured the imagination of customers who are curious about how they can use this technology to create new products and services on AWS, such as enterprise chatbots, which are more conversational. Optionally, deploy the application using AWS Amplify.

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AWS Machine Learning Blog

MARCH 1, 2024

Genesys Cloud (an omni-channel orchestration and customer relationship platform) provides a contact center platform in a public cloud model that enables quick and simple integration of AWS Contact Center Intelligence (AWS CCI) to transform the modern contact center from a cost center into a profit center.

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AWS Machine Learning Blog

MAY 31, 2023

You can submit a document from the AWS Management Console , AWS Command Line Interface (AWS CLI), or AWS SDK and receive the translated document in real time while maintaining the format of the original document. The translated file is automatically saved to your browser’s downloaded folder, usually to Downloads.

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Hacker News

MARCH 20, 2023

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AWS Machine Learning Blog

MARCH 29, 2024

The Amazon Lex fulfillment AWS Lambda function retrieves the Talkdesk touchpoint ID and Talkdesk OAuth secrets from AWS Secrets Manager and initiates a request to Talkdesk Digital Connect using the Start a Conversation API. In your AWS account, store the two secrets in Secrets Manager. US East (N. Launch the stack.

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AWS Machine Learning Blog

NOVEMBER 26, 2023

Amazon Personalize is excited to announce the new Next Best Action ( aws-next-best-action ) recipe to help you determine the best actions to suggest to your individual users that will enable you to increase brand loyalty and conversion.

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AWS Machine Learning Blog

SEPTEMBER 20, 2023

For example, you might have acquired a company that was already running on a different cloud provider, or you may have a workload that generates value from unique capabilities provided by AWS. We show how you can build and train an ML model in AWS and deploy the model in another platform.

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AWS Machine Learning Blog

DECEMBER 13, 2023

The built-in project templates provided by Amazon SageMaker include integration with some of third-party tools, such as Jenkins for orchestration and GitHub for source control, and several utilize AWS native CI/CD tools such as AWS CodeCommit , AWS CodePipeline , and AWS CodeBuild. An AWS account.

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AWS Machine Learning Blog

APRIL 29, 2024

For AWS and Outerbounds customers, the goal is to build a differentiated machine learning and artificial intelligence (ML/AI) system and reliably improve it over time. First, the AWS Trainium accelerator provides a high-performance, cost-effective, and readily available solution for training and fine-tuning large models.

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AWS Machine Learning Blog

JULY 25, 2023

Prerequisites To follow along with this post, you need the following: Access to an AWS account. For details, check out Creating an AWS account. An AWS Identity and Access Management (IAM) role with permissions to deploy the AWS CloudFormation templates used in this solution and manage resources as part of the solution.

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AssemblyAI

APRIL 23, 2024

Note We're using Google Drive as the source of audio files, but you could pull them from any source including e.g. AWS S3. Next, add a Google Drive Download a File module connected to the trigger, and configure the File ID with the File ID from the trigger. Build a PII redaction scenario Sign up or log into your Make account.

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Data Science 101

SEPTEMBER 20, 2023

Here is a large listing of resources for learning about quantum computing.

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AWS Machine Learning Blog

JULY 11, 2023

When it comes to ML, this restricts data scientists from downloading any package from public repositories like PyPI , Anaconda , or Conda-Forge. The high-level steps to implement the solution are as follows Set up a virtual private cloud (VPC) with no internet access using an AWS CloudFormation template.

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AWS Machine Learning Blog

DECEMBER 14, 2023

In November 2022, we announced that AWS customers can generate images from text with Stable Diffusion models in Amazon SageMaker JumpStart , a machine learning (ML) hub offering models, algorithms, and solutions. AWS provides a plethora of options and services to facilitate this endeavor.

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AssemblyAI

NOVEMBER 24, 2023

Join Us At AWS re:Invent We'll be in-person at  AWS re:Invent  from  November 27 through the 30th. AssemblyAI Is Now On Amazon Web Services (AWS) AssemblyAI  is now an official partner on the Amazon Web Services (AWS) Marketplace.   Book a meeting with our team  here.

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AWS Machine Learning Blog

MAY 17, 2023

AWS delivers services that meet customers’ artificial intelligence (AI) and machine learning (ML) needs with services ranging from custom hardware like AWS Trainium and AWS Inferentia to generative AI foundation models (FMs) on Amazon Bedrock. SageMaker Model SageMakerModel: Type: AWS::SageMaker::Model Properties: ModelName: !Sub

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AWS Machine Learning Blog

MAY 2, 2024

Today, we’re excited to announce the availability of Meta Llama 3 inference on AWS Trainium and AWS Inferentia based instances in Amazon SageMaker JumpStart. In this post, we demonstrate how easy it is to deploy Llama 3 on AWS Trainium and AWS Inferentia based instances in SageMaker JumpStart.

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AWS Machine Learning Blog

NOVEMBER 9, 2023

Central model registry – Amazon SageMaker Model Registry is set up in a separate AWS account to track model versions generated across the dev and prod environments. with administrative privileges installed on AWS Terraform version 1.5.5 After the key is provisioned, it should be visible on the AWS KMS console.

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AWS Machine Learning Blog

NOVEMBER 2, 2023

Prerequisites You should have some knowledge of generative AI, ML, and the services used in this solution, including Amazon Bedrock, Amazon ECS, Amazon CloudFront, Elastic Load Balancing, Amazon DynamoDB and Amazon S3 We use AWS CDK to build and deploy the solution. It uses the function download_image to download an image from the S3 bucket.

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