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 108

Metrics Enterprise APIs Engineering 108

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 92

Metrics Engineering Benchmark APIs 92

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 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 109

Best practices Feedback Metrics APIs 109

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 100

Benchmark APIs Enterprise Scripts 100

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 115

APIs Benchmark Construction Enterprise 115

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 92

Metrics APIs Engineering Accountability 92

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 95

APIs Engineering Accountability Metrics 95

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 106

Education Engineering APIs Enterprise 106

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 72

Benchmark APIs Engineering Metrics 72

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

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

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 88

Metrics APIs Engineering Accountability 88

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

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 100

APIs Metrics Best practices Construction 100

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 115

Chatbots Engineering Enterprise Government 115

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 85

APIs Healthcare Consulting Consulting 85

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 132

Management APIs Engineering Government 132

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 93

Metrics Best practices Engineering APIs 93

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 95

Benchmark APIs Enterprise Construction 95

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 93

APIs Enterprise Best practices Government 93

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 82

Customer Service Scripts Coaching Finance 82

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 121

Government APIs Enterprise Best practices 121

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 108

APIs Engineering Personalization Transportation 108

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 82

APIs Enterprise Benchmark Feedback 82

AWS Machine Learning

APRIL 24, 2024

With AWS generative AI services like Amazon Bedrock , developers can create systems that expertly manage and respond to user requests. This post assesses two primary approaches for developing AI assistants: using managed services such as Agents for Amazon Bedrock , and employing open source technologies like LangChain.

APIs 132

APIs Engineering Metrics Management 132

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 71

APIs Management Marketing Engineering 71

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 128

Real estate APIs Metrics Construction 128

AWS Machine Learning

JANUARY 25, 2023

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. Lookout for Metrics automatically detects and diagnoses anomalies (outliers from the norm) in business and operational data.

Metrics 90

Metrics APIs Enterprise Analytics 90

AWS Machine Learning

MAY 7, 2024

This post is co-written with Tim Camara, Senior Product Manager at Veritone. Growing in the media and entertainment space, Veritone solves media management, broadcast content, and ad tracking issues. Veritone is an artificial intelligence (AI) company based in Irvine, California.

APIs 129

APIs Advertising Entertainment Metrics 129

AWS Machine Learning

AUGUST 7, 2024

We then retrieve answers using standard RAG and a two-stage RAG, which involves a reranking API. Retrieve answers using the knowledge base retrieve API Evaluate the response using the RAGAS Retrieve answers again by running a two-stage RAG, using the knowledge base retrieve API and then applying reranking on the context.

APIs 132

APIs Chatbots Metrics Education 132

Help Scout

APRIL 27, 2021

Understanding and managing the power of the queue is critical to a sustainable customer service organization. Why “manage the support queue” at all? That certainly would appear fair and effective, but a well-managed queue can do more than that for you and your team. 14 ways to manage your support queue.

Management 119

Management Self service Technical Support APIs 119

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 113

Enterprise APIs Metrics Engineering 113

AWS Machine Learning

APRIL 17, 2024

Metrics allow teams to understand workload behavior and optimize resource allocation and utilization, diagnose anomalies, and increase overall infrastructure efficiency. Metrics are exposed to Amazon Managed Service for Prometheus by the neuron-monitor DaemonSet, which deploys a minimal container, with the Neuron tools installed.

APIs 121

APIs Metrics Accountability Management 121

AWS Machine Learning

JULY 10, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) along with a broad set of capabilities to build generative artificial intelligence (AI) applications, simplifying development with security, privacy, and responsible AI.

APIs 131

APIs Airlines Metrics Engineering 131

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 90

Enterprise Engineering APIs Accountability 90

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 77

Entertainment APIs Technology Feedback 77