AWS Machine Learning

DECEMBER 2, 2024

The new feature expands the possibilities for managing SageMaker inference endpoints. It allows you to configure the endpoints so they can scale to zero instances during periods of inactivity, providing an additional tool for resource management.

APIs 109

APIs Best practices Metrics Engineering 109

AWS Machine Learning

OCTOBER 29, 2024

All of this data is centralized and can be used to improve metrics in scenarios such as sales or call centers. Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. With Lambda integration, we can create a web API with an endpoint to the Lambda function.

Engineering 112

Engineering APIs Sales Enterprise 112

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. Users can access the functionality through the AWS Management Console for Amazon Bedrock and quickly integrate their custom datasets for evaluation purposes.

Metrics 105

Metrics Engineering Benchmark APIs 105

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 119

Metrics Enterprise APIs Engineering 119

AWS Machine Learning

MARCH 11, 2025

How do Amazon Nova Micro and Amazon Nova Lite perform against GPT-4o mini in these same metrics? Amazon Bedrock APIs make it straightforward to use Amazon Titan Text Embeddings V2 for embedding data. Vector database FloTorch selected Amazon OpenSearch Service as a vector database for its high-performance metrics.

Benchmark 112

Benchmark APIs Enterprise Scripts 112

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. SageMaker is a comprehensive, fully managed ML service designed to provide data scientists and ML engineers with the tools they need to handle the entire ML workflow.

Metrics 105

Metrics APIs Engineering Accountability 105

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 114

Best practices Feedback Metrics APIs 114

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 118

APIs Benchmark Construction Enterprise 118

AWS Machine Learning

MARCH 25, 2025

Automated safety guards Integrated Amazon CloudWatch alarms monitor metrics on an inference component. AlarmName This CloudWatch alarm is configured to monitor metrics on an InferenceComponent. For more information about the SageMaker AI API, refer to the SageMaker AI API Reference.

APIs 111

APIs Engineering Accountability Metrics 111

AWS Machine Learning

APRIL 10, 2025

Fine-tune an Amazon Nova model using the Amazon Bedrock API In this section, we provide detailed walkthroughs on fine-tuning and hosting customized Amazon Nova models using Amazon Bedrock. We first provided a detailed walkthrough on how to fine-tune, host, and conduct inference with customized Amazon Nova through the Amazon Bedrock API.

APIs 125

APIs Metrics Best practices Construction 125

AWS Machine Learning

APRIL 10, 2025

AWS is the first major cloud provider to deliver Pixtral Large as a fully managed, serverless model. 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.

APIs 110

APIs Management Marketing Engineering 110

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 77

Benchmark APIs Engineering Metrics 77

Global Response

MARCH 24, 2025

In this article, well explore what a call center knowledge management system (KMS) is and how it can bridge the gaps between your agents, information storage, and customer service. As self-service systems get smarter, your agents are left to manage more complex customer issues. What is a knowledge management system?

Call Center 62

Call Center Management Abandon rate outsourcing 62

AWS Machine Learning

OCTOBER 9, 2024

Amazon Lookout for Metrics is a fully managed service that uses machine learning (ML) to detect anomalies in virtually any time-series business or operational metrics—such as revenue performance, purchase transactions, and customer acquisition and retention rates—with no ML experience required.

Metrics 95

Metrics APIs Engineering Accountability 95

AWS Machine Learning

SEPTEMBER 28, 2023

SageMaker Canvas supports a number of use cases, including time-series forecasting used for inventory management in retail, demand planning in manufacturing, workforce and guest planning in travel and hospitality, revenue prediction in finance, and many other business-critical decisions where highly-accurate forecasts are important.

APIs 120

APIs Construction Finance Enterprise 120

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 118

Construction APIs Metrics Accountability 118

AWS Machine Learning

MARCH 3, 2025

Performance metrics and benchmarks Pixtral 12B is trained to understand both natural images and documents, achieving 52.5% An AWS Identity and Access Management (IAM) role to access Amazon Bedrock Marketplace and Amazon SageMaker endpoints. To begin using Pixtral 12B, choose Deploy. We use the following input image.

Benchmark 110

Benchmark APIs Construction Enterprise 110

AWS Machine Learning

SEPTEMBER 7, 2023

In February 2022, Amazon Web Services added support for NVIDIA GPU metrics in Amazon CloudWatch , making it possible to push metrics from the Amazon CloudWatch Agent to Amazon CloudWatch and monitor your code for optimal GPU utilization. Then we explore two architectures. already installed.

Metrics 125

Metrics APIs Management Engineering 125

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 71

APIs Engineering Metrics Big data 71

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 94

APIs Healthcare Consulting Consulting 94

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 106

APIs Chatbots Construction Engineering 106

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 112

Education Engineering APIs Enterprise 112

AWS Machine Learning

NOVEMBER 19, 2024

Second, we’ll delve into Amazon Bedrock , our fully managed service for building generative AI applications. Discover how the fully managed infrastructure of SageMaker enables high-performance, low cost ML throughout the ML lifecycle, from building and training to deploying and managing models at scale.

APIs 108

APIs Enterprise Best practices Government 108

AWS Machine Learning

SEPTEMBER 12, 2023

This is a guest post from Scalable Capital , a leading FinTech in Europe that offers digital wealth management and a brokerage platform with a trading flat rate. Whenever new emails arrive in the CRM inbox, CRM invokes the API Gateway public endpoint, which in turn triggers the Lambda function to invoke the private SageMaker endpoint.

Management 130

Management APIs CRM Metrics 130

AWS Machine Learning

NOVEMBER 15, 2024

As a leader in financial services, Principal wanted to make sure all data and responses adhered to strict risk management and responsible AI guidelines. This allowed fine-tuned management of user access to content and systems. The platform has delivered strong results across several key metrics.

Chatbots 114

Chatbots Engineering Enterprise Government 114

AWS Machine Learning

JANUARY 5, 2024

Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems. Wipro is an AWS Premier Tier Services Partner and Managed Service Provider (MSP).

Management 134

Management APIs Engineering Government 134

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 105

Metrics Best practices Engineering APIs 105

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 95

APIs Enterprise Benchmark Feedback 95

AWS Machine Learning

OCTOBER 16, 2024

Intact faced a challenge in managing its vast network of customer support call centers and required a workable solution within 6 months and long-term solution within 1 year. Amazon Transcribe is a fully managed automatic speech recognition (ASR) service that helps developers add speech-to-text capabilities to applications.

Customer Service 89

Customer Service Scripts Coaching Finance 89

AWS Machine Learning

OCTOBER 2, 2024

Managing bias, intellectual property, prompt safety, and data integrity are critical considerations when deploying generative AI solutions at scale. Amazon Bedrock is compatible with robust observability features to monitor and manage ML models and applications. In this post, we discuss how to address these challenges holistically.

Government 130

Government APIs Enterprise Best practices 130

AWS Machine Learning

FEBRUARY 25, 2025

Additionally, you might need to hire and staff a large team to build, maintain, and manage such a system. Amazon Q Business is a fully managed generative AI-powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems.

Enterprise 105

Enterprise Engineering APIs Accountability 105

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. Its a fully managed service that you can use to deploy, operate, and scale OpenSearch on AWS. An Amazon SageMaker notebook.

Engineering 107

Engineering APIs Enterprise Accountability 107

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. It will then return the place name with the highest similarity score.

APIs 112

APIs Engineering Personalization Transportation 112

AWS Machine Learning

DECEMBER 2, 2024

SageMaker Inference is a fully managed capability for customers to run generative AI and machine learning models at scale, providing purpose-built features and a broad array of inference-optimized instances. Select your preferred model from the marketplace, configure your infrastructure options, and deploy within minutes.

Enterprise 112

Enterprise Benchmark Technology APIs 112

AWS Machine Learning

MAY 30, 2024

Services range from financing and investment to property management. CBRE is unlocking the potential of artificial intelligence (AI) to realize value across the entire commercial real estate lifecycle—from guiding investment decisions to managing buildings.

Real estate 130

Real estate APIs Metrics Construction 130

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 main components for this application are the Slack integration, the Amazon Bedrock integration, the Retrieval Augmented Generation (RAG) implementation, user management, and logging.

Entertainment 86

Entertainment APIs Technology Feedback 86

AWS Machine Learning

MARCH 27, 2024

This requires carefully combining applications and metrics to provide complete awareness, accuracy, and control. The zAdviser uses Amazon Bedrock to provide summarization, analysis, and recommendations for improvement based on the DORA metrics data. It’s also vital to avoid focusing on irrelevant metrics or excessively tracking data.

Enterprise 122

Enterprise APIs Metrics Engineering 122