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. These insights are stored in a central repository, unlocking the ability for analytics teams to have a single view of interactions and use the data to formulate better sales and support strategies.

Engineering 110

Engineering APIs Sales Enterprise 110

AWS Machine Learning

OCTOBER 29, 2024

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. This feature allows you to separate data into logical partitions, making it easier to analyze and process data later.

Best practices 112

Best practices Feedback Metrics APIs 112

AWS Machine Learning

MARCH 11, 2025

One of the most critical applications for LLMs today is Retrieval Augmented Generation (RAG), which enables AI models to ground responses in enterprise knowledge bases such as PDFs, internal documents, and structured data. How do Amazon Nova Micro and Amazon Nova Lite perform against GPT-4o mini in these same metrics?

Benchmark 106

Benchmark APIs Enterprise Scripts 106

AWS Machine Learning

MARCH 6, 2025

In the rapidly evolving landscape of artificial intelligence, Retrieval Augmented Generation (RAG) has emerged as a game-changer, revolutionizing how Foundation Models (FMs) interact with organization-specific data. More sophisticated metrics are needed to evaluate factual alignment and accuracy.

Metrics 114

Metrics Enterprise APIs Engineering 114

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. This format promotes proper processing of evaluation data. Both features use the LLM-as-a-judge technique behind the scenes but evaluate different things.

Metrics 95

Metrics Engineering Benchmark APIs 95

AWS Machine Learning

DECEMBER 9, 2024

In the initial stages of an ML project, data scientists collaborate closely, sharing experimental results to address business challenges. However, keeping track of numerous experiments, their parameters, metrics, and results can be difficult, especially when working on complex projects simultaneously.

Metrics 98

Metrics APIs Engineering Accountability 98

AWS Machine Learning

DECEMBER 2, 2024

Use faster auto scaling metrics – Take advantage of more granular auto scaling metrics like ConcurrentRequestsPerCopy to more accurately monitor and react to changes in inference traffic. It’s a dynamic policy that adjusts the number of copies based on a specified metric, such as CPU utilization or request count.

APIs 104

APIs Best practices Metrics Engineering 104

AWS Machine Learning

AUGUST 2, 2024

With GraphStorm, you can build solutions that directly take into account the structure of relationships or interactions between billions of entities, which are inherently embedded in most real-world data, including fraud detection scenarios, recommendations, community detection, and search/retrieval problems. Specifically, GraphStorm 0.3

APIs 117

APIs Benchmark Construction Enterprise 117

AWS Machine Learning

APRIL 10, 2025

Demystifying RAG and model customization RAG is a technique to enhance the capability of pre-trained models by allowing the model access to external domain-specific data sources. They offer fast inference, support agentic workflows with Amazon Bedrock Knowledge Bases and RAG, and allow fine-tuning for text and multi-modal data.

APIs 119

APIs Metrics Best practices Construction 119

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 116

Construction APIs Metrics Accountability 116

AWS Machine Learning

MAY 30, 2024

The opportunities to unlock value using AI in the commercial real estate lifecycle starts with data at scale. Although CBRE provides customers their curated best-in-class dashboards, CBRE wanted to provide a solution for their customers to quickly make custom queries of their data using only natural language prompts.

Real estate 129

Real estate APIs Metrics Construction 129

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 106

APIs Engineering Accountability Metrics 106

AWS Machine Learning

NOVEMBER 15, 2024

Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles. The chatbot improved access to enterprise data and increased productivity across the organization.

Chatbots 113

Chatbots Engineering Enterprise Government 113

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

SEPTEMBER 28, 2023

In this post, we describe the enhancements to the forecasting capabilities of SageMaker Canvas and guide you on using its user interface (UI) and AutoML APIs for time-series forecasting. While the SageMaker Canvas UI offers a code-free visual interface, the APIs empower developers to interact with these features programmatically.

APIs 118

APIs Construction Finance Enterprise 118

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.

Management 133

Management APIs Engineering Government 133

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 92

Metrics APIs Engineering Accountability 92

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. Rule-based systems or specialized machine learning (ML) models often struggle with the variability of real-world documents, especially when dealing with semi-structured and unstructured data.

APIs 87

APIs Healthcare Consulting Consulting 87

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

NOVEMBER 19, 2024

The technical sessions covering generative AI are divided into six areas: First, we’ll spotlight Amazon Q , the generative AI-powered assistant transforming software development and enterprise data utilization. We’ll cover Amazon Bedrock Agents , capable of running complex tasks using your company’s systems and data.

APIs 100

APIs Enterprise Best practices Government 100

AWS Machine Learning

NOVEMBER 13, 2024

In the context of generative AI , significant progress has been made in developing multimodal embedding models that can embed various data modalities—such as text, image, video, and audio data—into a shared vector space. Each data point in the database is associated with a vector that encapsulates its attributes or features.

Engineering 115

Engineering Management APIs Healthcare 115

AWS Machine Learning

SEPTEMBER 9, 2024

Data insights are crucial for businesses to enable data-driven decisions, identify trends, and optimize operations. Generative artificial intelligence (AI) has revolutionized this by allowing users to interact with data through natural language queries, providing instant insights and visualizations without needing technical expertise.

APIs 119

APIs Engineering Telecommunications Enterprise 119

AWS Machine Learning

NOVEMBER 14, 2024

It enables you to privately customize the FM of your choice with your data using techniques such as fine-tuning, prompt engineering, and retrieval augmented generation (RAG) and build agents that run tasks using your enterprise systems and data sources while adhering to security and privacy requirements.

APIs 110

APIs Engineering Personalization Transportation 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. eks-create.sh 19 private:192.168.128.0/19

Metrics 119

Metrics APIs Management Engineering 119

AWS Machine Learning

APRIL 10, 2025

A distinguishing feature of Pixtral Large is its expansive context window of 128,000 tokens, enabling it to simultaneously process multiple images alongside extensive textual data. Chart and data visualization interpretation The model demonstrates exceptional proficiency in understanding complex visual data representations.

APIs 100

APIs Management Marketing Engineering 100

AWS Machine Learning

SEPTEMBER 20, 2024

These agents help users complete actions based on organizational data and user input, orchestrating interactions between foundation models (FMs), data sources, software applications, and user conversations. Amazon Bedrock Agents offers developers the ability to build and configure autonomous agents in their applications.

APIs 105

APIs Chatbots Construction Engineering 105

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 96

Metrics Best practices Engineering APIs 96

AWS Machine Learning

JANUARY 12, 2023

At The Very Group , which operates digital retailer Very, security is a top priority in handling data for millions of customers. However, this can mean processing customer data in the form of personally identifiable information (PII) in relation to activities such as purchases, returns, use of flexible payment options, and account management.

Engineering 126

Engineering APIs Accountability Metrics 126

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. This solution has two key workflows: a data ingestion workflow and a query workflow. Ingest sample data to the OpenSearch Service index.

Engineering 103

Engineering APIs Enterprise Accountability 103

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. In this particular use case, we use Pixtral 12B to analyze an intricate image containing GDP data.

Benchmark 101

Benchmark APIs Enterprise Construction 101

AWS Machine Learning

JANUARY 4, 2024

One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. Instead of dealing with complex technical code, business users and data analysts can ask questions related to data and insights in plain language.

Best practices 139

Best practices Enterprise Engineering APIs 139

AWS Machine Learning

FEBRUARY 25, 2025

To build a generative AI -based conversational application integrated with relevant data sources, an enterprise needs to invest time, money, and people. First, you would need build connectors to the data sources. For a full list of supported data source connectors, see Amazon Q Business connectors.

Enterprise 96

Enterprise Engineering APIs Accountability 96

AWS Machine Learning

FEBRUARY 15, 2024

With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable by anyone without much effort in creation and maintenance. This dilemma hampers the creation of efficient models that use data to generate business-relevant insights.

Metrics 120

Metrics Analytics APIs Big data 120

AWS Machine Learning

JANUARY 7, 2025

It can help collect more data on the value of LLMs for your content translation use cases. Translation Memory eXchange (TMX) is a widely used open standard for representing and exchanging TM data. Also note the completion metrics on the left pane, displaying latency, input/output tokens, and quality scores.

Engineering 110

Engineering Metrics industry standards Finance 110

AWS Machine Learning

OCTOBER 16, 2024

This pipeline provides self-serving capabilities for data scientists to track ML experiments and push new models to an S3 bucket. It offers flexibility for data scientists to conduct shadow deployments and capacity planning, enabling them to seamlessly switch between models for both production and experimentation purposes.

Customer Service 86

Customer Service Scripts Coaching Finance 86

AWS Machine Learning

JANUARY 24, 2025

Fine-tuning pre-trained language models allows organizations to customize and optimize the models for their specific use cases, providing better performance and more accurate outputs tailored to their unique data and requirements. Amazon Bedrock prioritizes security through a comprehensive approach to protect customer data and AI workloads.

Best practices 113

Best practices Accountability industry standards Metrics 113

AWS Machine Learning

OCTOBER 2, 2024

However, scaling up generative AI and making adoption easier for different lines of businesses (LOBs) comes with challenges around making sure data privacy and security, legal, compliance, and operational complexities are governed on an organizational level. In this post, we discuss how to address these challenges holistically.

Government 125

Government APIs Enterprise Best practices 125