AWS Machine Learning

FEBRUARY 12, 2025

This approach allows organizations to assess their AI models effectiveness using pre-defined metrics, making sure that the technology aligns with their specific needs and objectives. The introduction of an LLM-as-a-judge framework represents a significant step forward in simplifying and streamlining the model evaluation process.

Metrics 93

Metrics Engineering APIs Benchmark 93

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. To help you get started with the new API, we have published two Jupyter notebook examples: one for node classification, and one for a link prediction task. Specifically, GraphStorm 0.3

APIs 115

APIs Benchmark Construction Enterprise 115

AWS Machine Learning

MARCH 25, 2025

Then we deep dive into the new rolling update feature for inference components and provide practical examples using DeepSeek distilled models to demonstrate this feature. Consider an example where a customer has 10 copies of an inference component spread across 5 ml.p4d.24xlarge You can find the example notebook in the GitHub repo.

APIs 85

APIs Engineering Accountability Metrics 85

AWS Machine Learning

DECEMBER 9, 2024

However, keeping track of numerous experiments, their parameters, metrics, and results can be difficult, especially when working on complex projects simultaneously. For example, you can give users access permission to download popular packages and customize the development environment. config_yaml = f""" SchemaVersion: '1.0'

Metrics 95

Metrics APIs Engineering Accountability 95

AWS Machine Learning

MARCH 27, 2025

We also showcase a real-world example for predicting the root cause category for support cases. For the use case of labeling the support root cause categories, its often harder to source examples for categories such as Software Defect, Feature Request, and Documentation Improvement for labeling than it is for Customer Education.

Education 91

Education Engineering APIs Enterprise 91

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 84

Metrics Enterprise APIs Engineering 84

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 20, 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.

Construction 115

Construction APIs Metrics Accountability 115

AWS Machine Learning

FEBRUARY 21, 2025

This serves as an example of how generative AI can streamline operations that involve diverse data types and formats. The solution uses the FMs tool use capabilities, accessed through the Amazon Bedrock Converse API. Use case and dataset For our example use case, we examine a patient intake process at a healthcare institution.

APIs 85

APIs Healthcare Consulting Consulting 85

AWS Machine Learning

JANUARY 28, 2025

To effectively optimize AI applications for responsiveness, we need to understand the key metrics that define latency and how they impact user experience. These metrics differ between streaming and nonstreaming modes and understanding them is crucial for building responsive AI applications.

Benchmark 71

Benchmark APIs Engineering Metrics 71

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 13, 2024

For example, searching for a specific red leather handbag with a gold chain using text alone can be cumbersome and imprecise, often yielding results that don’t directly match the user’s intent. Amazon Titan FMs provide customers with a breadth of high-performing image, multimodal, and text model choices, through a fully managed API.

Engineering 114

Engineering Management APIs Healthcare 114

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. Here is an example from LangChain.

APIs 109

APIs Engineering Personalization Transportation 109

AWS Machine Learning

MARCH 3, 2025

Designed for both image and document comprehension, Pixtral demonstrates advanced capabilities in vision-related tasks, including chart and figure interpretation, document question answering, multimodal reasoning, and instruction followingseveral of which are illustrated with examples later in this post. Lets explore an example.

Benchmark 88

Benchmark APIs Enterprise Construction 88

AWS Machine Learning

OCTOBER 5, 2022

In this post, we discuss the key elements needed to evaluate the performance aspect of a content moderation service in terms of various accuracy metrics, and a provide an example using Amazon Rekognition Content Moderation API’s. Let’s explore an example. What to evaluate. Measure model accuracy on images.

Metrics 95

Metrics APIs Advertising Enterprise 95

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 113

Chatbots Engineering Enterprise Government 113

AWS Machine Learning

FEBRUARY 1, 2023

Amazon Rekognition has two sets of APIs that help you moderate images or videos to keep digital communities safe and engaged. Some customers have asked if they could use this approach to moderate videos by sampling image frames and sending them to the Amazon Rekognition image moderation API.

APIs 85

APIs Scripts Metrics Surveys 85

AWS Machine Learning

MARCH 14, 2025

Although automated metrics are fast and cost-effective, they can only evaluate the correctness of an AI response, without capturing other evaluation dimensions or providing explanations of why an answer is problematic. Human evaluation, although thorough, is time-consuming and expensive at scale.

Metrics 81

Metrics Best practices Engineering APIs 81

AWS Machine Learning

OCTOBER 24, 2024

Anatomy of RAG RAG is an efficient way to provide an FM with additional knowledge by using external data sources and is depicted in the following diagram: Retrieval : Based on a user’s question (1), relevant information is retrieved from a knowledge base (2) (for example, an OpenSearch index).

Chatbots 88

Chatbots Metrics Scripts APIs 88

AWS Machine Learning

FEBRUARY 7, 2025

The implementation uses Slacks event subscription API to process incoming messages and Slacks Web API to send responses. The following screenshot shows an example. The incoming event from Slack is sent to an endpoint in API Gateway, and Slack expects a response in less than 3 seconds, otherwise the request fails.

Entertainment 77

Entertainment APIs Technology Feedback 77

AWS Machine Learning

FEBRUARY 24, 2025

Performance metrics and benchmarks According to Mistral, the instruction-tuned version of the model achieves over 81% accuracy on Massive Multitask Language Understanding (MMLU) with 150 tokens per second latency, making it currently the most efficient model in its category. It doesnt support Converse APIs or other Amazon Bedrock tooling.

APIs 83

APIs Enterprise Benchmark Feedback 83

AWS Machine Learning

JANUARY 7, 2025

The translation playground could be adapted into a scalable serverless solution as represented by the following diagram using AWS Lambda , Amazon Simple Storage Service (Amazon S3), and Amazon API Gateway. For this example, the translated text, although accurate, is close to a literal translation, which is not a common phrasing in French.

Engineering 107

Engineering Metrics industry standards Finance 107

AWS Machine Learning

JANUARY 25, 2023

For example, a fast food chain has launched its earn and burn loyalty pilot program in some locations. This post shows you how to use an integrated solution with Amazon Lookout for Metrics to break these barriers by quickly and easily detecting anomalies in the key performance indicators (KPIs) of your interest. Choose Upload.

Metrics 94

Metrics APIs Enterprise Analytics 94

AWS Machine Learning

AUGUST 11, 2022

This post shows you how to use an integrated solution with Amazon Lookout for Metrics and Amazon Kinesis Data Firehose to break these barriers by quickly and easily ingesting streaming data, and subsequently detecting anomalies in the key performance indicators of your interest. You don’t need ML experience to use Lookout for Metrics.

Metrics 90

Metrics APIs Scripts Wireless 90

AWS Machine Learning

AUGUST 7, 2024

For example, retrieving responses from its database before generating a response could provide more relevant and coherent responses. We then retrieve answers using standard RAG and a two-stage RAG, which involves a reranking API. The framework provides a suite of metrics to evaluate different dimensions. join(batch_text_arr) s3.put_object(

APIs 132

APIs Chatbots Metrics Education 132

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 134

APIs Engineering Metrics Management 134

AWS Machine Learning

MAY 7, 2024

Amazon Transcribe The transcription for the entire video is generated using the StartTranscriptionJob API. The raw transcripts are further processed to be stored using timestamps, as shown in the following example. The metadata generated for each video by the APIs is processed and stored with timestamps.

APIs 132

APIs Advertising Entertainment Metrics 132

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. Fine-tuning Anthropic Claude 3 Haiku in Amazon Bedrock offers significant advantages for enterprises.

APIs 130

APIs Airlines Metrics Engineering 130

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 123

Government APIs Enterprise Best practices 123

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.

Metrics 96

Metrics Engineering Accountability Telecommunications 96

AWS Machine Learning

JUNE 5, 2024

Gather all these phishing reports and examples of non-phishing emails to prepare the training data. You should have a minimum 10 examples per class. For example, you can classify an email as phishing or not-phishing, but not both. The second column contains an example text document for that class.

APIs 113

APIs Metrics Accountability Enterprise 113

AWS Machine Learning

MARCH 3, 2025

They enable applications requiring very low latency or local data processing using familiar APIs and tool sets. Under Name and tags , enter a descriptive name for the instance (for example, la-local-zone-instance ). Each request contains a random prompt with a mean token count of 250 tokens.

APIs 71

APIs Benchmark Metrics Healthcare 71

AWS Machine Learning

JANUARY 24, 2025

Analyze results through metrics and evaluation. For instructions on assigning permissions to the IAM role, refer to Identity-based policy examples for Amazon Bedrock and How Amazon Bedrock works with IAM. For Security group name , enter a name (for example, bedrock-kms-interface-sg ). Set up IAM permissions for data access.

Best practices 112

Best practices Accountability industry standards Metrics 112

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 128

Real estate APIs Metrics Construction 128

AWS Machine Learning

FEBRUARY 5, 2025

Through this practical example, well illustrate how startups can harness the power of LLMs to enhance customer experiences and the simplicity of Nemo Guardrails to guide the LLMs driven conversation toward the desired outcomes. model API exposed by SageMaker JumpStart properly. The Llama 3.1

Chatbots 99

Chatbots Construction Best practices APIs 99

ProProfs Blog

JUNE 26, 2020

Application Program Interface (API). Application Programming Interface (API) is a combination of various protocols, tools, and codes. The function of the API enables apps to communicate with each other. 50 EXAMPLES OF CANNED RESPONSES > Channels. Agent Performance Report. Canned Response. Chat Duration. Eye Catcher.

Customer Service 179

Customer Service APIs Customer Support Feedback 179

AWS Machine Learning

FEBRUARY 25, 2025

For example, What are the top sections of the HR benefits policies? Amazon Q Business only provides metric information that you can use to monitor your data source sync jobs. Create sample Alation policies In our example, you would create three different sets of Alation policies for a fictional organization named Unicorn Rentals.

Enterprise 92

Enterprise Engineering APIs Accountability 92