AWS Machine Learning

MARCH 6, 2025

Current RAG pipelines frequently employ similarity-based metrics such as ROUGE , BLEU , and BERTScore to assess the quality of the generated responses, which is essential for refining and enhancing the models capabilities. More sophisticated metrics are needed to evaluate factual alignment and accuracy.

Metrics 117

Metrics Enterprise APIs Engineering 117

AWS Machine Learning

APRIL 10, 2025

Approach and base model overview In this section, we discuss the differences between a fine-tuning and RAG approach, present common use cases for each approach, and provide an overview of the base model used for experiments. To do so, we create a knowledge base. The following diagram illustrates the solution architecture.

APIs 123

APIs Metrics Best practices Construction 123

AWS Machine Learning

AUGUST 2, 2024

adds new APIs to customize GraphStorm pipelines: you now only need 12 lines of code to implement a custom node classification training loop. Based on customer feedback for the experimental APIs we released in GraphStorm 0.2, introduces refactored graph ML pipeline APIs. Specifically, GraphStorm 0.3 In addition, GraphStorm 0.3

APIs 117

APIs Benchmark Construction Enterprise 117

AWS Machine Learning

APRIL 10, 2025

For instance, Pixtral Large is highly effective at spotting irregularities or insightful trends within training loss curves or performance metrics, enhancing the accuracy of data-driven decision-making. By choosing View API , you can also access the model using code examples in the AWS Command Line Interface (AWS CLI) and AWS SDKs.

APIs 108

APIs Management Marketing Engineering 108

AWS Machine Learning

MARCH 3, 2025

Performance metrics and benchmarks Pixtral 12B is trained to understand both natural images and documents, achieving 52.5% You can find detailed usage instructions, including sample API calls and code snippets for integration. To begin using Pixtral 12B, choose Deploy. We use the following input image. We use the following input image.

Benchmark 109

Benchmark APIs Construction Enterprise 109

AWS Machine Learning

FEBRUARY 18, 2025

During these live events, F1 IT engineers must triage critical issues across its services, such as network degradation to one of its APIs. This impacts downstream services that consume data from the API, including products such as F1 TV, which offer live and on-demand coverage of every race as well as real-time telemetry.

APIs 69

APIs Engineering Metrics Big data 69

AWS Machine Learning

NOVEMBER 19, 2024

As attendees circulate through the GAIZ, subject matter experts and Generative AI Innovation Center strategists will be on-hand to share insights, answer questions, present customer stories from an extensive catalog of reference demos, and provide personalized guidance for moving generative AI applications into production.

APIs 106

APIs Enterprise Best practices Government 106

AWS Machine Learning

FEBRUARY 21, 2025

The solution uses the FMs tool use capabilities, accessed through the Amazon Bedrock Converse API. This enables the FMs to not just process text, but to actively engage with various external tools and APIs to perform complex document analysis tasks. For more details on how tool use works, refer to The complete tool use workflow.

APIs 92

APIs Healthcare Consulting Consulting 92

AWS Machine Learning

SEPTEMBER 20, 2024

Amazon Bedrock agents use LLMs to break down tasks, interact dynamically with users, run actions through API calls, and augment knowledge using Amazon Bedrock Knowledge Bases. In this post, we demonstrate how to use Amazon Bedrock Agents with a web search API to integrate dynamic web content in your generative AI application.

APIs 105

APIs Chatbots Construction Engineering 105

AWS Machine Learning

NOVEMBER 14, 2024

The user’s request is sent to AWS API Gateway , which triggers a Lambda function to interact with Amazon Bedrock using Anthropic’s Claude Instant V1 FM to process the user’s request and generate a natural language response of the place location. These features are presented in a web UI that was designed as a one-stop solution for our users.

APIs 110

APIs Engineering Personalization Transportation 110

AWS Machine Learning

JANUARY 7, 2025

This blog post with accompanying code presents a solution to experiment with real-time machine translation using foundation models (FMs) available in Amazon Bedrock. Also note the completion metrics on the left pane, displaying latency, input/output tokens, and quality scores.

Engineering 112

Engineering Metrics industry standards Finance 112

AWS Machine Learning

OCTOBER 24, 2024

The retrieve_and_generate API does both the retrieval and a call to an FM (Amazon Titan or Anthropic’s Claude family of models on Amazon Bedrock ), for a fully managed solution. Mean Reciprocal Rank (MRR) – This metric considers the ranking of the retrieved documents. Adding guardrails against such behavior is essential.

Chatbots 92

Chatbots Metrics Scripts APIs 92

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 112

Chatbots Engineering Enterprise Government 112

AWS Machine Learning

MARCH 27, 2025

Where discrete outcomes with labeled data exist, standard ML methods such as precision, recall, or other classic ML metrics can be used. These metrics provide high precision but are limited to specific use cases due to limited ground truth data. If the use case doesnt yield discrete outputs, task-specific metrics are more appropriate.

Education 110

Education Engineering APIs Enterprise 110

AWS Machine Learning

APRIL 24, 2025

A seamless search journey not only enhances the overall user experience, but also directly impacts key business metrics such as conversion rates, average order value, and customer loyalty. However, combining keyword search and semantic search presents significant complexity because different query types provide scores on different scales.

Engineering 106

Engineering APIs Enterprise Accountability 106

AWS Machine Learning

MARCH 3, 2025

The device further processes this response, including text-to-speech (TTS) conversion for voice agents, before presenting it to the user. They enable applications requiring very low latency or local data processing using familiar APIs and tool sets. Each request contains a random prompt with a mean token count of 250 tokens.

APIs 82

APIs Benchmark Metrics Healthcare 82

AWS Machine Learning

FEBRUARY 25, 2025

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, 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 80

Chatbots Engineering Automotive Metrics 80

AWS Machine Learning

DECEMBER 5, 2022

Then we dive into the two key metrics used to evaluate a biometric system’s accuracy: the false match rate (also known as false acceptance rate) and false non-match rate (also known as false rejection rate). We use FMR and FNMR as our two key metrics to evaluate facial biometric systems. False non-match rate.

Metrics 97

Metrics Best practices Banking APIs 97

CSM Magazine

FEBRUARY 19, 2025

Challenge 2: Integration with Wearables and Third-Party APIs Many people use smartwatches and heart rate monitors to measure sleep, stress, and physical activity, which may affect mental health. Third-party APIs may link apps to healthcare and meditation services. However, integrating these diverse sources is not straightforward.

APIs 52

APIs Healthcare Gamification Consulting 52

AWS Machine Learning

APRIL 24, 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, Stability AI, and Amazon using a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

APIs 137

APIs Engineering Metrics Management 137

AWS Machine Learning

NOVEMBER 21, 2023

Building document processing and understanding solutions for financial and research reports, medical transcriptions, contracts, media articles, and so on requires extraction of information present in titles, headers, paragraphs, and so on. Text – Text that is present typically as a part of paragraphs in documents.

APIs 116

APIs Construction Metrics Education 116

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 119

APIs Government Enterprise Engineering 119

AWS Machine Learning

AUGUST 2, 2024

Earnings calls are live conferences where executives present an overview of results, discuss achievements and challenges, and provide guidance for upcoming periods. Draft a comprehensive earnings call script that covers the key financial metrics, business highlights, and future outlook for the given quarter.

Engineering 131

Engineering Scripts Metrics Advertising 131

AWS Machine Learning

NOVEMBER 9, 2023

This benefits enterprise software development and helps overcome the following challenges: Sparse documentation or information for internal libraries and APIs that forces developers to spend time examining previously written code to replicate usage. Inadvertent use of deprecated code and APIs by developers.

APIs 119

APIs Enterprise Metrics Engineering 119

AWS Machine Learning

SEPTEMBER 18, 2024

It provides a unified interface for logging parameters, code versions, metrics, and artifacts, making it easier to compare experiments and manage the model lifecycle. From our experience, artifact server has some limitations, such as limits on artifact size (because of sending it using REST API).

APIs 120

APIs Engineering Analytics Marketing 120

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 124

APIs Scripts Entertainment Personalization 124

AWS Machine Learning

FEBRUARY 7, 2024

In the first post of this three-part series, we presented a solution that demonstrates how you can automate detecting document tampering and fraud at scale using AWS AI and machine learning (ML) services for a mortgage underwriting use case. Deploy the API to make predictions. Select your options and train the model. Create the model.

APIs 134

APIs Accountability Metrics Engineering 134

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. These metrics will assess how well a machine-generated summary compares to one or more reference summaries.

Healthcare 135

Healthcare Engineering APIs Benchmark 135

AWS Machine Learning

NOVEMBER 17, 2022

Beyond model accuracy, other potential metrics of importance are model training time and inference time. JumpStart APIs allow you to programmatically deploy and fine-tune a vast selection of JumpStart-supported pre-trained models on your own datasets. In this section, we present the results from these 15 runs. Solution overview.

APIs 98

APIs Scripts Metrics 98

AWS Machine Learning

JANUARY 5, 2024

Query training results: This step calls the Lambda function to fetch the metrics of the completed training job from the earlier model training step. RMSE threshold: This step verifies the trained model metric (RMSE) against a defined threshold to decide whether to proceed towards endpoint deployment or reject this model.

Management 132

Management APIs Engineering Government 132

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. Real-time recommendation inference The inference phase consists of the following steps: The client application makes an inference request to the API gateway.

Personalization 125

Personalization APIs Scripts Technical Support 125

AWS Machine Learning

AUGUST 30, 2023

For a quantitative analysis of the generated impression, we use ROUGE (Recall-Oriented Understudy for Gisting Evaluation), the most commonly used metric for evaluating summarization. This metric compares an automatically produced summary against a reference or a set of references (human-produced) summary or translation.

Healthcare 133

Healthcare APIs Scripts Metrics 133

AWS Machine Learning

DECEMBER 1, 2022

You can then compare the performance of the two versions using metrics such as latency and error rate. Optionally, you can monitor the variants through a built-in dashboard with a side-by-side comparison of the performance metrics. Please refer to the CreateModel API here. Pre-requisites. Step 1 – Create a shadow test.

APIs 98

APIs Metrics Management Self service 98

AWS Machine Learning

APRIL 4, 2024

However, delivering truly personalized recommendations presents several key challenges: Capturing diverse user interests – News can span many topics and even within specific topics, readers can have varied interests. For more information about these metrics, see Evaluating a solution version with metrics.

Personalization 101

Personalization APIs Engineering Metrics 101

AWS Machine Learning

MAY 1, 2024

Validation loss and validation perplexity – Similar to the training metrics, but measured during the validation stage. Use the model You can access your fine-tuned LLM through the Amazon Bedrock console, API, CLI, or SDKs. He actively shares his expertise through his YouTube channel, blog posts, and presentations.

APIs 133

APIs SaaS Accountability Education 133

AWS Machine Learning

APRIL 11, 2023

Some customers use third-party face liveness features that can only detect spoof attacks presented to the camera (such as printed or digital photos or videos on a screen), which work well for users in select geographies, and are often completely customer-managed. Spoof detection Face Liveness can deter presentation and bypass spoof attacks.

APIs 98

APIs Accountability Government Healthcare 98

AWS Machine Learning

FEBRUARY 10, 2025

The deployment of agentic systems should focus on well-defined processes with clear success metrics and where there is potential for greater flexibility and less brittleness in process management. You can deploy or fine-tune models through an intuitive UI or APIs, providing flexibility for all skill levels.

Enterprise 114

Enterprise Engineering APIs Chatbots 114