AWS Machine Learning

SEPTEMBER 26, 2024

This text-to-video API generates high-quality, realistic videos quickly from text and images. Trained on the Amazon SageMaker HyperPod , Dream Machine excels in creating consistent characters, smooth motion, and dynamic camera movements. Luma AI’s recently launched Dream Machine represents a significant advancement in this field.

Scripts 103

Scripts APIs Metrics Management 103

AWS Machine Learning

DECEMBER 22, 2023

Large language model (LLM) training has surged in popularity over the last year with the release of several popular models such as Llama 2, Falcon, and Mistral. Training performant models at this scale can be a challenge. These features improve the usability of the library, expand functionality, and accelerate training.

Scripts 107

Scripts APIs Engineering Finance 107

Zingtree

MAY 3, 2018

If you’re a Zendesk user in a Contact Center environment, you’ll want to be using our Zendesk Agent Scripting app. This makes it easy to guide, train and onboard agents and is a huge productivity booster for everyone. This two-minute video shows you how Agents interact with the Agent Scripting App: Getting Started.

Scripts 67

Scripts APIs Feedback Contact Center 67

AWS Machine Learning

MARCH 15, 2023

The best practice for migration is to refactor these legacy codes using the Amazon SageMaker API or the SageMaker Python SDK. SageMaker runs the legacy script inside a processing container. Step Functions is a serverless workflow service that can control SageMaker APIs directly through the use of the Amazon States Language.

Scripts 124

Scripts APIs Engineering Construction 124

AWS Machine Learning

JULY 29, 2022

Pre-trained models and fully managed NLP services have democratised access and adoption of NLP. Amazon SageMaker is a fully managed service that provides developers and data scientists the ability to build, train, and deploy machine learning (ML) models quickly. Build your training script for the Hugging Face SageMaker estimator.

Scripts 83

Scripts APIs Big data Engineering 83

AWS Machine Learning

AUGUST 19, 2022

Today, a lot of customers are using TensorFlow to train deep learning models for their clickthrough rate in advertising and personalization recommendations in ecommerce. Model iteration is one of a data scientist’s daily jobs, but they face the problem of taking too long to train on large datasets. Automatic mixed precision training.

Best practices 74

Best practices APIs Scripts Advertising 74

AWS Machine Learning

FEBRUARY 16, 2023

Modern model pre-training often calls for larger cluster deployment to reduce time and cost. At the server level, such training workloads demand faster compute and increased memory allocation. As models grow to hundreds of billions of parameters, they require a distributed training mechanism that spans multiple nodes (instances).

Scripts 85

Scripts APIs Benchmark Engineering 85

AWS Machine Learning

OCTOBER 18, 2024

SageMaker is an excellent choice for model training, because it reduces the time and cost to train and tune ML models at scale without the need to manage infrastructure. Because you pay only for what you use, you can manage your training costs more effectively. The final model artifact is saved to an S3 bucket.

Scripts 88

Scripts APIs Engineering Marketing 88

Zingtree

MAY 24, 2018

If you’re a Zendesk user in a Contact Center environment, you’ll want to be using our Zendesk Agent Scripting app. This makes it easy to guide, train and onboard agents and is a huge productivity booster for everyone. Benefits of the Zendesk Agent Scripting App. Installing the Agent Scripting App into Zendesk.

Scripts 61

Scripts APIs Real estate Feedback 61

AWS Machine Learning

AUGUST 1, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API. The scripts for fine-tuning and evaluation are available on the GitHub repository.

APIs 107

APIs Scripts Real estate Accountability 107

AWS Machine Learning

AUGUST 2, 2024

Traditionally, earnings call scripts have followed similar templates, making it a repeatable task to generate them from scratch each time. On the other hand, generative artificial intelligence (AI) models can learn these templates and produce coherent scripts when fed with quarterly financial data.

Engineering 113

Engineering Scripts Metrics APIs 113

AWS Machine Learning

MAY 16, 2024

The main AWS services used are SageMaker, Amazon EMR , AWS CodeBuild , Amazon Simple Storage Service (Amazon S3), Amazon EventBridge , AWS Lambda , and Amazon API Gateway. The SageMaker pipeline predefined in CodeBuild runs, and sequentially runs steps such as preprocessing including provisioning, model training, and model registration.

Personalization 103

Personalization APIs Scripts Technical Support 103

AWS Machine Learning

JUNE 9, 2022

SageMaker JumpStart provides one-click fine-tuning and deployment of a wide variety of pre-trained models across popular ML tasks, as well as a selection of end-to-end solutions that solve common business problems. In this post, we’re excited to announce that all trainable JumpStart models now support incremental training.

Scripts 66

Scripts APIs Enterprise Accountability 66

AWS Machine Learning

MARCH 6, 2023

Large language models (LLMs) are neural network-based language models with hundreds of millions ( BERT ) to over a trillion parameters ( MiCS ), and whose size makes single-GPU training impractical. The size of an LLM and its training data is a double-edged sword: it brings modeling quality, but entails infrastructure challenges.

Best practices 82

Best practices APIs Transportation Scripts 82

AWS Machine Learning

AUGUST 3, 2023

As machine learning (ML) becomes increasingly prevalent in a wide range of industries, organizations are finding the need to train and serve large numbers of ML models to meet the diverse needs of their customers. Training and serving thousands of models requires a robust and scalable infrastructure, which is where Amazon SageMaker can help.

APIs 78

APIs Scripts SaaS Management 78

AWS Machine Learning

JANUARY 5, 2024

The AWS portfolio of ML services includes a robust set of services that you can use to accelerate the development, training, and deployment of machine learning applications. Collaboration – Data scientists each worked on their own local Jupyter notebooks to create and train ML models.

Management 119

Management APIs Engineering Government 119

AWS Machine Learning

JANUARY 8, 2024

The first allows you to run a Python script from any server or instance including a Jupyter notebook; this is the quickest way to get started. In the following sections, we first describe the script solution, followed by the AWS CDK construct solution. The following diagram illustrates the sequence of events within the script.

Scripts 97

Scripts Construction APIs Healthcare 97

AWS Machine Learning

OCTOBER 24, 2022

The plentiful and jointly trained parameters of DL models have a large representational capacity that brought improvements in numerous customer use cases, including image and speech analysis, natural language processing (NLP), time series processing, and more. The challenge with DL training.

Scripts 77

Scripts Enterprise APIs Benchmark 77

AWS Machine Learning

OCTOBER 31, 2022

Training these gigantic models is challenging and requires complex distribution strategies. Data scientists and machine learning engineers are constantly looking for the best way to optimize their training compute, yet are struggling with the communication overhead that can increase along with the overall cluster size. on 256 GPUs.

Scripts 65

Scripts Benchmark APIs Engineering 65

Zingtree

APRIL 14, 2015

We’re proud to announce that we’ve “officially” launched our Agent Scripting for call centers. Zingtree Interactive Decision Tree System Redefines Call Center Agent Scripting with New App. New agent scripting tools aid in training and corporate compliance for call center applications.

Scripts 48

Scripts Call Center APIs Analytics 48

AWS Machine Learning

FEBRUARY 29, 2024

Its collaborative capabilities such as real-time coediting and sharing notebooks within the team ensures smooth teamwork, while the scalability and high-performance training caters to large datasets. These tags also help track associated costs for the domain.

APIs 108

APIs Construction Transportation Analytics 108

AWS Machine Learning

MARCH 23, 2023

Although this example shows how to perform this for inference operations, you can extend the solution to training and other ML steps. Endpoints are deployed with a couple clicks or lines of code using SageMaker, which simplifies the process for developers and ML experts to build and train ML and deep learning models in the cloud.

Scripts 103

Scripts APIs Government Analytics 103

AWS Machine Learning

OCTOBER 27, 2022

Certain machine learning (ML) workloads, such as training computer vision models or reinforcement learning, often involve combining the GPU- or accelerator-intensive task of neural network model training with the CPU-intensive task of data preprocessing, like image augmentation. This post is co-written with Chaim Rand from Mobileye.

Scripts 69

Scripts Benchmark Metrics Transportation 69

AWS Machine Learning

FEBRUARY 29, 2024

The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store.

APIs 121

APIs Healthcare Scripts Enterprise 121

AWS Machine Learning

SEPTEMBER 8, 2023

Amazon Rekognition makes it easy to add image analysis capability to your applications without any machine learning (ML) expertise and comes with various APIs to fulfil use cases such as object detection, content moderation, face detection and analysis, and text and celebrity recognition, which we use in this example.

APIs 105

APIs Scripts Entertainment Personalization 105

AWS Machine Learning

OCTOBER 14, 2024

Although such multimodal models are broadly useful for answering questions and interpreting imagery, they’re limited to only answering questions based on information from their own training document dataset. This script can be acquired directly from Amazon S3 using aws s3 cp s3://aws-blogs-artifacts-public/artifacts/ML-16363/deploy.sh.

Chatbots 109

Chatbots APIs Engineering Healthcare 109

AWS Machine Learning

FEBRUARY 13, 2023

With the increasing use of artificial intelligence (AI) and machine learning (ML) for a vast majority of industries (ranging from healthcare to insurance, from manufacturing to marketing), the primary focus shifts to efficiency when building and training models at scale. The steps are as follows: Open AWS Cloud9 on the console.

Scripts 73

Scripts Best practices Transportation Construction 73

AWS Machine Learning

DECEMBER 5, 2024

These organizations are engaging in both pre-training and fine-tuning massive LLMs, with parameter counts in the billions. In this post, we demonstrate how you can address this requirement by using Amazon SageMaker HyperPod training plans , which can bring down your training cluster procurement wait time.

APIs 80

APIs Engineering Scripts Wait times 80

AWS Machine Learning

AUGUST 30, 2023

It often takes years of training for doctors to accumulate enough expertise in writing concise and informative radiology report summarizations, further highlighting the significance of automating the process. There are significant benefits to using a pre-trained model. For validation, 5% of the dataset was randomly selected.

Healthcare 120

Healthcare APIs Scripts Metrics 120

AWS Machine Learning

JULY 11, 2024

Retrieval Augmented Generation (RAG) is a popular paradigm that provides additional knowledge to large language models (LLMs) from an external source of data that wasn’t present in their training corpus. For more information about fine tuning Sentence Transformer, see Sentence Transformer training overview.

Scripts 110

Scripts Accountability APIs Engineering 110

AWS Machine Learning

JULY 29, 2022

The data scientists in this team use Amazon SageMaker to build and train a credit risk prediction model using the shared credit risk data product from the consumer banking LoB. Build and train ML models using a data mesh architecture on AWS. Part 1: Data mesh set up and data product registration. Data exploration.

Scripts 72

Scripts Analytics Accountability Engineering 72

AWS Machine Learning

APRIL 12, 2023

In this post, we share how Games24x7 improved their training pipelines for their responsible gaming platform using Amazon SageMaker. This step-function instantiated a cluster of instances to extract and process data from S3 and the further steps of pre-processing, training, evaluation would run on a single large EC2 instance.

Scripts 85

Scripts APIs Metrics Best practices 85

AWS Machine Learning

MAY 5, 2023

It consists of pre-trained models that can be applied to analyze images and videos at scale. By uploading a small set of training images, Amazon Rekognition automatically loads and inspects the training data, selects the right ML algorithms, trains a model, and provides model performance metrics.

Engineering 104

Engineering APIs Scripts Enterprise 104

AWS Machine Learning

NOVEMBER 7, 2022

JumpStart provides one-click fine-tuning and deployment of a wide variety of pre-trained models across popular ML tasks, as well as a selection of end-to-end solutions that solve common business problems. In this post, we provide a step-by-step walkthrough on how to deploy pre-trained stable diffusion models for generating images from text.

APIs 87

APIs Scripts Enterprise Big data 87

AWS Machine Learning

JUNE 29, 2022

However, training these gigantic networks from scratch requires a tremendous amount of data and compute. For smaller NLP datasets, a simple yet effective strategy is to use a pre-trained transformer, usually trained in an unsupervised fashion on very large datasets, and fine-tune it on the dataset of interest. training script.

Benchmark 78

Benchmark Metrics APIs Scripts 78

AWS Machine Learning

NOVEMBER 15, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

APIs 95

APIs Government Best practices Metrics 95

AWS Machine Learning

NOVEMBER 14, 2024

Customers can use the SageMaker Studio UI or APIs to specify the SageMaker Model Registry model to be shared and grant access to specific AWS accounts or to everyone in the organization. We will start by using the SageMaker Studio UI and then by using APIs.

Government 78

Government Management APIs Accountability 78