AWS Machine Learning

MAY 3, 2023

One aspect of this data preparation is feature engineering. Feature engineering refers to the process where relevant variables are identified, selected, and manipulated to transform the raw data into more useful and usable forms for use with the ML algorithm used to train a model and perform inference against it.

Engineering 90

Engineering Metrics APIs Big data 90

AWS Machine Learning

MAY 5, 2023

To address the problems associated with complex searches, this post describes in detail how you can achieve a search engine that is capable of searching for complex images by integrating Amazon Kendra and Amazon Rekognition. Users may have to manually filter out unsuitable image results when dealing with complex searches.

Engineering 108

Engineering APIs Scripts Enterprise 108

AWS Machine Learning

OCTOBER 2, 2024

It’s a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like Anthropic, Cohere, Meta, Mistral 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.

Government 121

Government APIs Enterprise Best practices 121

AWS Machine Learning

MARCH 27, 2024

In software engineering, there is a direct correlation between team performance and building robust, stable applications. The data community aims to adopt the rigorous engineering principles commonly used in software development into their own practices, which includes systematic approaches to design, development, testing, and maintenance.

Enterprise 115

Enterprise APIs Metrics Engineering 115

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. With this launch, customers can now seamlessly share and access ML models registered in SageMaker Model Registry between different AWS accounts.

Government 92

Government Management APIs Accountability 92

AWS Machine Learning

NOVEMBER 1, 2024

Dru on the backend decodes log data, deciphers error codes, and invokes API calls to troubleshoot. This approach allowed us to break the problem down into multiple steps: Identify the API route. Generate and invoke private API calls. Having similar names and synonyms in API routes make this retrieval problem more complex.

APIs 111

APIs Scripts Engineering Government 111

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 103

APIs Government Best practices Metrics 103

AWS Machine Learning

NOVEMBER 7, 2024

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. API Gateway is serverless and hence automatically scales with traffic. API Gateway also provides a WebSocket API. Incoming requests to the gateway go through this point.

Enterprise 115

Enterprise APIs Government Accountability 115

AWS Machine Learning

JANUARY 10, 2024

Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. ML Engineer at Tiger Analytics. The solution uses AWS Lambda , Amazon API Gateway , Amazon EventBridge , and SageMaker to automate the workflow with human approval intervention in the middle. API Gateway invokes a Lambda function to initiate model updates.

APIs 125

APIs Construction Engineering Analytics 125

AWS Machine Learning

NOVEMBER 13, 2024

Because SageMaker Model Cards and SageMaker Model Registry were built on separate APIs, it was challenging to associate the model information and gain a comprehensive view of the model development lifecycle. SageMaker Model Registry catalogs your models along with their versions and associated metadata and metrics for training and evaluation.

Government 105

Government Engineering Metrics APIs 105

AWS Machine Learning

APRIL 24, 2024

Conversational artificial intelligence (AI) assistants are engineered to provide precise, real-time responses through intelligent routing of queries to the most suitable AI functions. With AWS generative AI services like Amazon Bedrock , developers can create systems that expertly manage and respond to user requests. What is an AI assistant?

APIs 131

APIs Engineering Metrics Management 131

AWS Machine Learning

JULY 31, 2023

It also enables you to evaluate the models using advanced metrics as if you were a data scientist. In this post, we show how a business analyst can evaluate and understand a classification churn model created with SageMaker Canvas using the Advanced metrics tab. The F1 score provides a balanced evaluation of the model’s performance.

Metrics 92

Metrics Engineering Accountability Telecommunications 92

AWS Machine Learning

AUGUST 26, 2024

The GenASL web app invokes the backend services by sending the S3 object key in the payload to an API hosted on Amazon API Gateway. API Gateway instantiates an AWS Step Functions The state machine orchestrates the AI/ML services Amazon Transcribe and Amazon Bedrock and the NoSQL data store Amazon DynamoDB using AWS Lambda functions.

APIs 123

APIs Calibration Best practices Healthcare 123

AWS Machine Learning

JULY 10, 2024

This process enhances task-specific model performance, allowing the model to handle custom use cases with task-specific performance metrics that meet or surpass more powerful models like Anthropic Claude 3 Sonnet or Anthropic Claude 3 Opus. Under Output data , for S3 location , enter the S3 path for the bucket storing fine-tuning metrics.

APIs 133

APIs Airlines Metrics Engineering 133

AWS Machine Learning

OCTOBER 16, 2024

To evaluate the transcription accuracy quality, the team compared the results against ground truth subtitles on a large test set, using the following metrics: Word error rate (WER) – This metric measures the percentage of words that are incorrectly transcribed compared to the ground truth. A lower MER signifies better accuracy.

Engineering 112

Engineering Metrics APIs Big data 112

AWS Machine Learning

NOVEMBER 1, 2024

We also provide insights on how to achieve optimal results for different dataset sizes and use cases, backed by experimental data and performance metrics. Tools and APIs – For example, when you need to teach Anthropic’s Claude 3 Haiku how to use your APIs well. Sonnet across various tasks.

Best practices 96

Best practices APIs Finance Engineering 96

AWS Machine Learning

MAY 30, 2024

AWS Prototyping successfully delivered a scalable prototype, which solved CBRE’s business problem with a high accuracy rate (over 95%) and supported reuse of embeddings for similar NLQs, and an API gateway for integration into CBRE’s dashboards. The following diagram illustrates the web interface and API management layer.

Real estate 130

Real estate APIs Metrics Construction 130

AWS Machine Learning

NOVEMBER 18, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral, 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 102

APIs Surveys Chatbots Construction 102

AWS Machine Learning

OCTOBER 23, 2024

Amazon Bedrock serves as the cornerstone of Wittly’s AI capabilities, offering several key advantages: Single API access – Simplifies integration with Anthropic’s Claude foundation models (FMs), allowing for straightforward updates and potential expansion to other models in the future.

Education 92

Education APIs Engineering Metrics 92

AWS Machine Learning

OCTOBER 21, 2024

This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API. Having a unified developer experience when accessing custom models or base models through Amazon Bedrock’s API. Ease of deployment through a fully managed, serverless, service. 2, 3, 3.1,

APIs 139

APIs Scripts Finance Real estate 139

AWS Machine Learning

MAY 13, 2024

This 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, Stability AI, and Amazon through a single API. There are many prompt engineering techniques. It is time-consuming but, at the same time, critical.

Healthcare 129

Healthcare Engineering APIs Benchmark 129

AWS Machine Learning

OCTOBER 24, 2023

This post is co-authored by Dhurjati Brahma, Senior Systems Architect at T-Mobile US, Inc and Jim Chao, Principal Engineer/Architect at T-Mobile US, Inc and Nicholas Zellerhoff Associate Systems Architect at T-Mobile US, Inc. He holds a Master’s degree in Electrical Engineering from University of Alabama at Birmingham.

APIs 118

APIs Engineering Metrics Technology 118

AWS Machine Learning

APRIL 4, 2024

Solution overview Amazon Personalize is a great fit to power a news recommendation engine because of its ability to provide real-time and batch personalized recommendations at scale. Combining recommendations from both recipes allows the recommendation engine to balance personalization with the discovery of timely, high-interest stories.

Personalization 100

Personalization APIs Engineering Metrics 100

AWS Machine Learning

MARCH 22, 2023

Behind the scenes, Rekognition Custom Labels automatically loads and inspects the training data, selects the right ML algorithms, trains a model, and provides model performance metrics. You can then use your custom model via the Rekognition Custom Labels API and integrate it into your applications.

APIs 92

APIs Metrics Engineering Feedback 92

AWS Machine Learning

JANUARY 5, 2024

Wipro further accelerated their ML model journey by implementing Wipro’s code accelerators and snippets to expedite feature engineering, model training, model deployment, and pipeline creation. Query training results: This step calls the Lambda function to fetch the metrics of the completed training job from the earlier model training step.

Management 133

Management APIs Engineering Government 133

AWS Machine Learning

MAY 7, 2024

Amazon Transcribe The transcription for the entire video is generated using the StartTranscriptionJob API. The solution runs Amazon Rekognition APIs for label detection , text detection, celebrity detection , and face detection on videos. The metadata generated for each video by the APIs is processed and stored with timestamps.

APIs 128

APIs Advertising Entertainment Metrics 128

AWS Machine Learning

NOVEMBER 21, 2024

The CreateAutoMLJobV2 API offers a low-level interface that allows for more control and customization. Using the SDK offers benefits like faster prototyping, better usability, and pre-built functions, and the API is better for advanced customizations. This pipeline step uses a Lambda step , which runs a serverless Lambda function.

Metrics 83

Metrics APIs Healthcare Scripts 83

AWS Machine Learning

JULY 24, 2024

You can customize the model using prompt engineering, Retrieval Augmented Generation (RAG), or fine-tuning. Let’s explore two customer journeys: Selecting and evaluating foundation models – You can evaluate the performance of different pre-trained FMs on relevant datasets and metrics specific to your use case.

APIs 130

APIs Engineering Metrics Enterprise 130

Whitepages Pro

APRIL 16, 2019

In March, we announced Transaction Risk API , our latest solution to fight payment fraud and improve the efficiency of authorizations, built specifically for models. Our goal with Transaction Risk API was to provide a powerful tool to help in this space. Engineering Efficiency. Today, let’s talk about the how.

APIs 40

APIs Engineering Wait times Feedback 40

AWS Machine Learning

OCTOBER 16, 2023

Apart from GPU provisioning, this setup also required data scientists to build a REST API wrapper for each model, which was needed to provide a generic interface for other company services to consume, and to encapsulate preprocessing and postprocessing of model data. Two MMEs were created at Veriff, one for staging and one for production.

APIs 111

APIs Best practices Engineering Metrics 111

Whitepages Pro

APRIL 24, 2019

Our latest product innovation, Transaction Risk API , was specifically built for easy integration into sophisticated machine learning (ML) models and is designed to help eCommerce merchants, marketplaces, payment processors, and others manage payment fraud. Transaction Risk API delivers a response within 100 ms to meet this need.

APIs 40

APIs Marketing Engineering Metrics 40

AWS Machine Learning

SEPTEMBER 30, 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 89

APIs Real estate Accountability Metrics 89

AWS Machine Learning

JANUARY 4, 2024

Specifically, we discuss the following: Why do we need Text2SQL Key components for Text to SQL Prompt engineering considerations for natural language or Text to SQL Optimizations and best practices Architecture patterns Why do we need Text2SQL? Effective prompt engineering is key to developing natural language to SQL systems.

Best practices 138

Best practices Enterprise Engineering APIs 138

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.

Chatbots 121

Chatbots Engineering Enterprise Feedback 121

AWS Machine Learning

JUNE 27, 2023

This post explains how Provectus and Earth.com were able to enhance the AI-powered image recognition capabilities of EarthSnap, reduce engineering heavy lifting, and minimize administrative costs by implementing end-to-end ML pipelines, delivered as part of a managed MLOps platform and managed AI services.

Engineering 120

Engineering APIs Scripts Entertainment 120

AWS Machine Learning

SEPTEMBER 28, 2023

A Generative AI Gateway can help large enterprises control, standardize, and govern FM consumption from services such as Amazon Bedrock , Amazon SageMaker JumpStart , third-party model providers (such as Anthropic and their APIs), and other model providers outside of the AWS ecosystem. What is a Generative AI Gateway?

APIs 123

APIs Government Enterprise Engineering 123

AWS Machine Learning

OCTOBER 29, 2024

Observability refers to the ability to understand the internal state and behavior of a system by analyzing its outputs, logs, and metrics. Evaluation, on the other hand, involves assessing the quality and relevance of the generated outputs, enabling continual improvement.

Best practices 112

Best practices Feedback Metrics APIs 112