AWS Machine Learning

MAY 22, 2024

For example, a product that has a description that includes words such as “long sleeve” and “cotton neck” will be returned if a consumer is looking for a “long sleeve cotton shirt.” To fine-tune our model, we need to convert our structured examples into a collection of question and answer pairs. We prepared entrypoint_vqa_finetuning.py

Scripts 115

Scripts Engineering Accountability APIs 115

AWS Machine Learning

NOVEMBER 16, 2023

Photo by Scott Webb on Unsplash Determining the value of housing is a classic example of using machine learning (ML). Although there can be hundreds of features to consider, some fundamental examples are the size of the home in the finished space, the number of bedrooms and bathrooms, and the location of the residence.

Real estate 92

Real estate APIs Scripts Accountability 92

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 94

Scripts Advertising Engineering Analytics 94

AWS Machine Learning

JULY 6, 2022

Our translator consists of three fully managed AWS ML services working together in a single Python script by using the AWS SDK for Python (Boto3) for our text translation and text-to-speech portions, and an asynchronous streaming SDK for audio input transcription. Amazon Translate: State-of-the-art, fully managed translation API.

APIs 76

APIs Scripts Engineering Management 76

AWS Machine Learning

JULY 21, 2022

As a result, this experimentation phase can produce multiple models, each created from their own inputs (datasets, training scripts, and hyperparameters) and producing their own outputs (model artifacts and evaluation metrics). An experiment owned by the data science team regarding marketing analytics, for example.

Metrics 82

Metrics Scripts Enterprise Telecommunications 82

AWS Machine Learning

JULY 29, 2022

These customized ML models can either be deployed to the AWS Cloud using cloud APIs or to custom edge hardware using AWS IoT Greengrass. We walk through training the new semantic segmentation models, exporting them as AWS IoT Greengrass components, and running inference in CPU-only mode with Python example code. Solution overview.

Scripts 73

Scripts SaaS Accountability Engineering 73

AWS Machine Learning

APRIL 18, 2023

As an example of how performance improves when the model is fine-tuned, consider asking it the following question: “What drives sales growth at Amazon?” We make this possible in a few API calls in the JumpStart Industry SDK. We select Amazon’s SEC filing reports for years 2021–2022 as the training data to fine-tune the GPT-J 6B model.

Finance 70

Finance Scripts APIs Sales 70

AWS Machine Learning

APRIL 18, 2023

As an example of how performance improves when the model is fine-tuned, consider asking it the following question: “What drives sales growth at Amazon?” We make this possible in a few API calls in the JumpStart Industry SDK. We select Amazon’s SEC filing reports for years 2021–2022 as the training data to fine-tune the GPT-J 6B model.

Finance 52

Finance Scripts APIs Sales 52

AWS Machine Learning

SEPTEMBER 9, 2022

Example components of the standardized tooling include a data ingestion API, security scanning tools, the CI/CD pipeline built and maintained by another team within athenahealth, and a common serving platform built and maintained by the MLOps team. Moreover, as the projects became more complex, the number of tools also increased.

Engineering 80

Engineering Healthcare APIs Scripts 80

Quiq

DECEMBER 22, 2021

The pandemic accelerated messaging popularity in 2021. According to Zendesk’s 2021 CX Trends Report , in-app messaging popularity grew by 36%, SMS/text messaging by 75%, and social messaging by 110%. For example, talking to a customer using live chat on your website should be a different experience than Facebook Messenger.

Best practices 52

Best practices Chatbots Interactive Voice Response Wait times 52

AWS Machine Learning

MAY 30, 2023

In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support plan. With SageMaker Processing, you can bring your own custom processing scripts and choose to build a custom container or use a SageMaker managed container with common frameworks like scikit-learn, Lime, Spark and more.

Scripts 68

Scripts Best practices Metrics APIs 68

AWS Machine Learning

NOVEMBER 14, 2023

Examples include: Cultivating distrust in the media Undermining the democratic process Spreading false or discredited science (for example, the anti-vax movement) Advances in artificial intelligence (AI) and machine learning (ML) have made developing tools for creating and sharing fake news even easier.

APIs 115

APIs Engineering Scripts Education 115

AWS Machine Learning

SEPTEMBER 12, 2023

In 2021, Scalable Capital experienced a tenfold increase of its client base, from tens of thousands to hundreds of thousands. MLOps – Because the SageMaker endpoint is private and can’t be reached by services outside of the VPC, an AWS Lambda function and Amazon API Gateway public endpoint are required to communicate with CRM.

Management 101

Management APIs CRM Metrics 101

AWS Machine Learning

MAY 30, 2023

In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support plan. More information and example queries can be found in the AWS CUR Query Library. For example, if there are four CPUs, the CPUUtilization range is 0–400%. The CPU utilization of each core range is 0–100. This value range is 0–100%.

Best practices 72

Best practices Metrics Accountability APIs 72