AWS Machine Learning

SEPTEMBER 6, 2023

It’s powered by large language models (LLMs) that are pre-trained on vast amounts of data and commonly referred to as foundation models (FMs). These SageMaker endpoints are consumed in the Amplify React application through Amazon API Gateway and AWS Lambda functions. This dataset is a large corpus of legal and administrative data.

Enterprise 105

Enterprise APIs Real estate Construction 105

AWS Machine Learning

NOVEMBER 30, 2023

Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning (ML) models at scale. SageMaker makes it easy to deploy models into production directly through API calls to the service. SageMaker provides a variety of options to deploy models.

Benchmark 113

Benchmark APIs Scripts Engineering 113

Spearline

FEBRUARY 3, 2020

With such a rise in popularity of mobile usage around the world, we are delighted to announce that from February 2020, our customers will be able to test the sending of an SMS message to a destination specified by them, via the Spearline API. Access real-time reporting and analytics via Spearline API polling.

Telecommunications 92

Telecommunications APIs Benchmark Enterprise 92

AWS Machine Learning

OCTOBER 31, 2022

Data scientists and machine learning engineers are constantly looking for the best way to optimize their training compute, yet are struggling with the communication overhead that can increase along with the overall cluster size. speed up compared to PyTorch’s Fully Sharded Data Parallel (FSDP). on 256 GPUs.

Scripts 65

Scripts Benchmark APIs Engineering 65

AWS Machine Learning

MAY 15, 2024

Acting as a model hub, JumpStart provided a large selection of foundation models and the team quickly ran their benchmarks on candidate models. Regarding the inference, customers using Amazon Ads now have a new API to receive these generated images. The Amazon API Gateway receives the PUT request (step 1).

Advertising 112

Advertising APIs Engineering Benchmark 112

AWS Machine Learning

APRIL 22, 2024

These include the ability to analyze massive amounts of data, identify patterns, summarize documents, perform translations, correct errors, or answer questions. These examples include speeding up market trend analysis, ensuring accurate risk management and compliance, and facilitating data collection or report generation.

Best practices 119

Best practices Benchmark Transportation Engineering 119

AWS Machine Learning

MARCH 13, 2024

Because the models are hosted and deployed on AWS, your data, whether used for evaluating the model or using it at scale, is never shared with third parties. Choose the model card to view details about the model such as the license, data used to train, and how to use the model. This looks pretty good!

Benchmark 115

Benchmark Scripts APIs Feedback 115

AWS Machine Learning

NOVEMBER 18, 2024

Sonnet, also newly released, setting new industry benchmarks for graduate-level reasoning and improvements in grasping complex instructions. It exposes an API endpoint through Amazon API Gateway that proxies the initial prompt request to a Python-based AWS Lambda function, which calls Amazon Bedrock twice.

APIs 92

APIs Entertainment Benchmark Advertising 92

AWS Machine Learning

SEPTEMBER 12, 2024

Organizations generate vast amounts of data that is proprietary to them, and it’s critical to get insights out of the data for better business outcomes. Generative AI and foundation models (FMs) play an important role in creating applications using an organization’s data that improve customer experiences and employee productivity.

APIs 115

APIs Benchmark Enterprise Construction 115

AWS Machine Learning

SEPTEMBER 11, 2024

Data contains information, and information can be used to predict future behaviors, from the buying habits of customers to securities returns. Businesses are seeking a competitive advantage by being able to use the data they hold, apply it to their unique understanding of their business domain, and then generate actionable insights from it.

Benchmark 85

Benchmark Banking Analytics Big data 85

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. We used the MIMIC CXR dataset , which can be accessed through a data use agreement.

Healthcare 114

Healthcare Engineering APIs Benchmark 114

AWS Machine Learning

JUNE 25, 2024

For more information about Jamba-Instruct, including relevant benchmarks, refer to Built for the Enterprise: Introducing AI21’s Jamba-Instruct Model. Programmatic access You can also access Jamba-Instruct through an API, using Amazon Bedrock and AWS SDK for Python (Boto3).

APIs 105

APIs Benchmark Enterprise Technology 105

AWS Machine Learning

JUNE 21, 2024

eSentire is an industry-leading provider of Managed Detection & Response (MDR) services protecting users, data, and applications of over 2,000 organizations globally across more than 35 industries. This helps customers quickly and seamlessly explore their security data and accelerate internal investigations.

Engineering 106

Engineering Construction APIs Benchmark 106

AWS Machine Learning

JUNE 15, 2023

We demonstrate how to use the AWS Management Console and Amazon Translate public API to deliver automatic machine batch translation, and analyze the translations between two language pairs: English and Chinese, and English and Spanish. This results in translations that better match the style and content of the parallel data.

APIs 77

APIs Benchmark Best practices Engineering 77

AWS Machine Learning

NOVEMBER 22, 2023

Consider revisiting the logging design of the telemetry data and adding infrastructure as code (IaC), such as document processing pipelines, to the solution. Rather than requiring your data science and IT teams to build and maintain AI models, you can use pre-trained AI services that can automate tasks for you.

APIs 101

APIs Metrics Benchmark Enterprise 101

AWS Machine Learning

FEBRUARY 8, 2023

Building ML models involves preparing the data for training, extracting features, and then training and fine-tuning the model using the features. Next, the model has to be put to work so that it can generate inference (or predictions) from new data, which can then be used in the application. large two-core machine.

Benchmark 79

Benchmark Metrics APIs Engineering 79

AWS Machine Learning

JUNE 6, 2024

RAG is the process of optimizing the output of a large language model (LLM) so it references an authoritative knowledge base outside of its training data sources before generating a response. With SageMaker JumpStart, the model is deployed in an AWS secure environment and under your VPC controls, helping provide data security.

Benchmark 98

Benchmark Enterprise Construction APIs 98

Spearline

JULY 21, 2022

And testingRTC offers multiple ways to export these metrics, from direct collection from webhooks, to downloading results in CSV format using the REST API. And all of this data can be broken down further by probe (browser). You can drill down into any of the users for more detailed information as well as check additional channel data.

Scripts 98

Scripts APIs Metrics Analytics 98

Lumoa

JULY 6, 2023

Summarize thousands of feedback with just one click Use the power of AI to save time and stress Safe and secure – none of your data will be stored anywhere outside of Lumoa If you want to also get access to the new GPT functionality, and be on the waitlist for cutting edge features, contact your CS manager or help@lumoa.me

APIs 15

APIs industry standards Surveys Benchmark 15

JivoChat

JUNE 20, 2022

Data and time API. You will be able to design page objects, and data-driven and hybrid automation frameworks from scratch. Data-driven framework. Rest API Testing (Automation) from Scratch-Rest Assured Java. Main topics: Rest API basics and terminology. API testing using Postman. Rest API framework .

APIs 75

APIs Benchmark Best practices Construction 75

Balto

JANUARY 14, 2025

From understanding the fundamentals of call center predictive analytics to diving into real-world call center analytics use cases, this comprehensive guide covers everything you need to know about analyzing call center data. Predictive Analytics: Uses historical data to forecast future events like call volumes or customer churn.

Call Center 52

Call Center Analytics Average Handle Time Big data 52

AWS Machine Learning

NOVEMBER 26, 2024

It employs a combination of technology, processes, and skilled personnel to maintain the confidentiality, integrity, and availability of information systems and data. This skill simplifies the data extraction process, allowing security analysts to conduct investigations more efficiently without requiring deep technical knowledge.

APIs 80

APIs Metrics SaaS Engineering 80

AWS Machine Learning

AUGUST 22, 2024

Snowflake Arctic is a family of enterprise-grade large language models (LLMs) built by Snowflake to cater to the needs of enterprise users, exhibiting exceptional capabilities (as shown in the following benchmarks ) in SQL querying, coding, and accurately following instructions. Snowflake Arctic models are available under an Apache 2.0

Enterprise 107

Enterprise APIs Benchmark Scripts 107

Upstream Works

MARCH 21, 2019

Establishing customer trust and loyalty is the single most important aspect of customer experience, according to the Dimension Data 2019 Global Customer Experience Benchmarking Report. When we speak of Customer Experience (CX) and strategies for improving it, we need to clearly define the inherent business value.

Customer Experience 92

Customer Experience Management Contact center software Self service 92

AWS Machine Learning

MARCH 14, 2024

However, adoption of these FMs involves addressing some key challenges, including quality output, data privacy, security, integration with organization data, cost, and skills to deliver. Organizations must also carefully manage data privacy and security risks that arise from processing proprietary data with FMs.

Best practices 114

Best practices Engineering Chatbots Enterprise 114

AWS Machine Learning

NOVEMBER 29, 2024

With this capability, you can now optimize your prompts for several use cases with a single API call or a click of a button on the Amazon Bedrock console. In this post, we discuss how you can get started with this new feature using an example use case in addition to discussing some performance benchmarks.

Benchmark 112

Benchmark Engineering Construction APIs 112

AWS Machine Learning

JUNE 12, 2024

In today’s data-driven business landscape, the ability to efficiently extract and process information from a wide range of documents is crucial for informed decision-making and maintaining a competitive edge. Confidence scores and human review Maintaining data accuracy and quality is paramount in any document processing solution.

APIs 113

APIs Accountability Benchmark Government 113

AWS Machine Learning

APRIL 20, 2023

The majority of data is non-fraudulent (284,315 samples), with only 492 samples corresponding to fraudulent examples. In the data, Class is the target classification variable (fraudulent vs. non-fraudulent) in the first column, followed by other variables. The class column corresponds to whether or not a transaction is fraudulent.

APIs 80

APIs Metrics Benchmark Engineering 80

AWS Machine Learning

OCTOBER 2, 2024

In addition, they use the developer-provided instruction to create an orchestration plan and then carry out the plan by invoking company APIs and accessing knowledge bases using Retrieval Augmented Generation (RAG) to provide an answer to the user’s request. In Part 1, we focus on creating accurate and reliable agents.

Best practices 86

Best practices APIs Metrics Accountability 86

AWS Machine Learning

JUNE 13, 2023

This hyper-personalization is achieved through fine-tuning embedding models and classifiers on customer data, ensuring accurate information retrieval results and domain knowledge that caters to each client’s unique needs. In addition, deployments are now as simple as calling Boto3 SageMaker APIs and attaching the proper auto scaling policies.

APIs 68

APIs Benchmark Engineering Management 68

AWS Machine Learning

JULY 10, 2024

Red-teaming engages human testers to probe an AI system for flaws in an adversarial style, and complements our other testing techniques, which include automated benchmarking against publicly available and proprietary datasets, human evaluation of completions against proprietary datasets, and more.

Government 111

Government Education Best practices APIs 111

AWS Machine Learning

NOVEMBER 15, 2024

This post focuses on doing RAG on heterogeneous data formats. We first introduce routers, and how they can help managing diverse data sources. We then give tips on how to handle tabular data and will conclude with multimodal RAG, focusing specifically on solutions that handle both text and image data.

APIs 104

APIs Engineering Chatbots Construction 104

Pointillist

JULY 25, 2018

In either case, you likely have questions around what use cases to pick, how to create a project team and how to prepare your data. Thinking in journeys’ is important when it comes to data integration for customer journey analytics, as explained in detail in step 4 below. No background in data science is necessary.

Analytics 93

Analytics Government Metrics APIs 93

AWS Machine Learning

MAY 22, 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 through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

Scripts 118

Scripts Engineering Accountability APIs 118

Comm100

SEPTEMBER 23, 2021

Ensure you find benchmarks and determine prompt response times for your business for the asynchronous communication channels like Facebook, SMS, and email. In the past, companies used to store data locally, but online methods are now the best bet for companies that care about data security. Data Transparency.

Customer Service 92

Customer Service Chatbots APIs Benchmark 92

AWS Machine Learning

FEBRUARY 6, 2023

The former question addresses model selection across model architectures, while the latter question concerns benchmarking trained models against a test dataset. This post provides details on how to implement large-scale Amazon SageMaker benchmarking and model selection tasks. swin-large-patch4-window7-224 195.4M efficientnet-b5 29.0M

APIs 71

APIs Scripts Metrics Benchmark 71

AWS Machine Learning

OCTOBER 21, 2024

This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API. Having a unified developer experience when accessing custom models or base models through Amazon Bedrock’s API. Ease of deployment through a fully managed, serverless, service. 2, 3, 3.1,

APIs 128

APIs Scripts Finance Real estate 128