AWS Machine Learning

SEPTEMBER 26, 2024

This text-to-video API generates high-quality, realistic videos quickly from text and images. Customizable environment – SageMaker HyperPod offers the flexibility to customize your cluster environment using lifecycle scripts. Video generation has become the latest frontier in AI research, following the success of text-to-image models.

Scripts 119

Scripts APIs Metrics Management 119

AWS Machine Learning

AUGUST 4, 2022

The repricing ML model is a Scikit-Learn Random Forest implementation in SageMaker Script Mode, which is trained using data available in the S3 bucket (the analytics layer). The price recommendations generated by the Lambda predictions optimizer are submitted to the repricing API, which updates the product price on the marketplace.

Scripts 125

Scripts Advertising Engineering Analytics 125

AWS Machine Learning

JUNE 28, 2023

Solution overview Amazon Rekognition and Amazon Comprehend are managed AI services that provide pre-trained and customizable ML models via an API interface, eliminating the need for machine learning (ML) expertise. The RESTful API will return the generated image and the moderation warnings to the client if unsafe information is detected.

APIs 108

APIs Advertising Engineering Construction 108

AWS Machine Learning

JUNE 6, 2023

Run your DLC container with a model training script to fine-tune the RoBERTa model. After model training is complete, package the saved model, inference scripts, and a few metadata files into a tar file that SageMaker inference can use and upload the model package to an Amazon Simple Storage Service (Amazon S3) bucket.

Scripts 97

Scripts APIs Benchmark Management 97

AWS Machine Learning

SEPTEMBER 18, 2023

Each stage in the ML workflow is broken into discrete steps, with its own script that takes input and output parameters. In the following code, the desired number of actors is passed in as an input argument to the script. Let’s look at sections of the scripts that perform this data preprocessing. get("OfflineStoreConfig").get("S3StorageConfig").get("ResolvedOutputS3Uri")

Scripts 130

Scripts APIs Government Construction 130

AWS Machine Learning

OCTOBER 31, 2022

To get started, follow Modify a PyTorch Training Script to adapt SMPs’ APIs in your training script. In this section, we only call out a few main steps with code snippets from the ready-to-use training script train_gpt_simple.py. The notebook uses the script data_prep_512.py return loss. Prepare the dataset.

Scripts 94

Scripts Benchmark APIs Engineering 94

AWS Machine Learning

AUGUST 9, 2024

Learn more about prompt engineering and generative AI-powered Q&A in the Amazon Bedrock Workshop. Deltek is continuously working on enhancing this solution to better align it with their specific requirements, such as supporting file formats beyond PDF and implementing more cost-effective approaches for their data ingestion pipeline.

Government 131

Government Healthcare Construction Engineering 131

AWS Machine Learning

MAY 25, 2023

We implement the RAG functionality inside an AWS Lambda function with Amazon API Gateway to handle routing all requests to the Lambda. We implement a chatbot application in Streamlit which invokes the function via the API Gateway and the function does a similarity search in the OpenSearch Service index for the embeddings of user question.

APIs 98

APIs Enterprise Accountability Chatbots 98

AWS Machine Learning

SEPTEMBER 2, 2022

We have released an open-source project, AWS DevOps for EKS (aws-do-eks) , which provides a large collection of easy-to-use and configurable scripts and tools to provision EKS clusters and run distributed training jobs. script in the fsx folder. The script also installs the CSI driver for FSx as a daemonset.

Scripts 98

Scripts Metrics Accountability APIs 98

AWS Machine Learning

SEPTEMBER 11, 2024

Amazon EKS creates a highly available endpoint for the managed Kubernetes API server that you use to communicate with your cluster (using tools like kubectl). The managed endpoint uses Network Load Balancer to load balance Kubernetes API servers. This VPC doesn’t appear in the customer account.

APIs 89

APIs Accountability Metrics Management 89

AWS Machine Learning

OCTOBER 2, 2024

In addition, 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 an answer to the user’s request. In Part 1, we focus on creating accurate and reliable agents.

Best practices 98

Best practices APIs Metrics Accountability 98

AWS Machine Learning

FEBRUARY 13, 2024

The second script accepts the AWS RAM invitations to discover and access cross-account feature groups from the owner level. It also shows how to grant access permissions to existing feature groups at the owner account and share these with another consumer account using AWS RAM.

Accountability 128

Accountability Government Engineering Scripts 128

AWS Machine Learning

DECEMBER 16, 2022

A ready-to-use training script for GPT-2 model can be found at train_gpt_simple.py. For training a different model type, you can follow the API document to learn about how to apply SMP APIs. You can find an example in the same training script train_gpt_simple.py. With the latest SMPv1.13 Benchmarking performance.

Benchmark 97

Benchmark Engineering APIs Scripts 97

AWS Machine Learning

SEPTEMBER 19, 2024

Users initiate the process by calling the SageMaker control plane through APIs or command line interface (CLI) or using the SageMaker SDK for each individual step. Create a Weights & Biases API key to access the Weights & Biases dashboard for logging and monitoring Request a SageMaker service quota for 1x ml.p4d.24xlarge

Engineering 96

Engineering APIs Scripts Metrics 96

AWS Machine Learning

JUNE 12, 2023

The Hugging Face transformers , tokenizers , and datasets libraries provide APIs and tools to download and predict using pre-trained models in multiple languages. Next, we can move the input tensors to the GPU used by the current process using the torch.cuda.set_device API followed by the.to() API call.

Best practices 96

Best practices APIs Engineering Analytics 96

AWS Machine Learning

AUGUST 3, 2023

In the current scenario, you need to dedicate resources to accomplish such tasks using human review and complex scripts. Amazon Bedrock is a fully managed service that makes FMs from leading AI startups and Amazon available through an API, so you can find the model that best suits your requirements.

APIs 98

APIs Banking Enterprise Construction 98

AWS Machine Learning

AUGUST 1, 2023

Furthermore, proprietary models typically come with user-friendly APIs and SDKs, streamlining the integration process with your existing systems and applications. It offers an easy-to-use API and Python SDK, balancing quality and affordability. Popular uses include generating marketing copy, powering chatbots, and text summarization.

Healthcare 98

Healthcare APIs Scripts Best practices 98

NobelBiz

JUNE 26, 2023

Watch our free, on-demand workshop about How to Boost Outbound Efficiency While Remaining TCPA Compliant. These real-world examples highlight the critical role of compliance in call center operations and the challenges inherent in maintaining this compliance during upgrades and system changes.

Call Center 52

Call Center Interactive Voice Response call center software Contact Center 52

AWS Machine Learning

JANUARY 26, 2024

After you and your teams have a basic understanding of security on AWS, we strongly recommend reviewing How to approach threat modeling and then leading a threat modeling exercise with your teams starting with the Threat Modeling For Builders Workshop training program.

Best practices 137

Best practices Government Engineering Accountability 137

AWS Machine Learning

DECEMBER 5, 2024

Create a SageMaker training plan using the AWS CLI Complete the following steps to create a training plan using the AWS CLI: Start by calling the API, passing your capacity requirements as input parameters, to search for all matching training plan offerings. You can start using your plan once it transitions to the Active state.

APIs 103

APIs Engineering Scripts Wait times 103

AWS Machine Learning

APRIL 2, 2025

It provides a set of high-level APIs for tasks, actors, and data that abstract away the complexities of distributed computing, enabling developers to focus on the core logic of their applications. Source is from Amazon EKS Support in SageMaker HyperPod Workshop. Please deploy this stack. The fsdp-ray.py in the aws-do-ray GitHub repo.

Scripts 115

Scripts Metrics Automotive Management 115

AWS Machine Learning

MARCH 3, 2025

Alternatively, you can use a launcher script, which is a bash script that is preconfigured to run the chosen training or fine-tuning job on your cluster. You can check out main.py (NeMo style launcher) and launcher scripts for DeepSeek on the GitHub repository hosting SageMaker HyperPod recipes. recipes=recipe-name.

Scripts 99

Scripts Construction Management Enterprise 99

AWS Machine Learning

JANUARY 22, 2025

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case. The UI is provided by a simple Streamlit application with access to the DynamoDB and Amazon Bedrock APIs.

Management 111

Management Engineering APIs Accountability 111

AWS Machine Learning

APRIL 22, 2025

script can run by executing the command chmod 755./deploy.sh. Execute the CloudFormation deployment script provided as follows: /deploy.sh -s [CNF_STACK_NAME] -r [AWS_REGION] You can follow the deployment progress on the AWS CloudFormation console. Using your local computer command line, use the cd command and change directory into./sample-code-for-evaluating-amazon-q-business-applications-using-ragas-main/end-to-end-solution

Calibration 84

Calibration Metrics Enterprise Engineering 84