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 80

APIs Enterprise Benchmark Feedback 80

AWS Machine Learning

MARCH 27, 2025

These include metrics such as ROUGE or cosine similarity for text similarity, and specific benchmarks for assessing toxicity (Detoxify), prompt stereotyping (cross-entropy loss), or factual knowledge (HELM, LAMA). How would a skilled manager handle a very smart, but new and inexperienced employee? Create a private JupyterLab space.

Education 91

Education Engineering APIs Enterprise 91

AWS Machine Learning

FEBRUARY 12, 2025

Amazon Bedrock is a fully managed service that makes FMs from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case. You can use the API to programmatically send an inference (text generation) request to the model of your choice.

APIs 74

APIs Management Benchmark Scripts 74

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 91

APIs Enterprise Best practices Government 91

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. Contact us for a demo to learn more about how Upstream Works enables effective omnichannel customer experience management that delivers real business value.

Customer Experience 92

Customer Experience Management Contact center software Self service 92

AWS Machine Learning

AUGUST 13, 2024

This unstructured data can impact the efficiency and productivity of clinical services, because it’s often found in various paper-based forms that can be difficult to manage and process. By extracting the questions from the reference form, we can establish a benchmark against which other forms can be evaluated.

Healthcare 128

Healthcare APIs Consulting Consulting 128

AWS Machine Learning

NOVEMBER 15, 2024

We first introduce routers, and how they can help managing diverse data sources. An alternative approach to routing is to use the native tool use capability (also known as function calling) available within the Bedrock Converse API. Refer to this documentation for a detailed example of tool use with the Bedrock Converse API.

APIs 115

APIs Engineering Chatbots Construction 115

AWS Machine Learning

MAY 2, 2024

A common way to select an embedding model (or any model) is to look at public benchmarks; an accepted benchmark for measuring embedding quality is the MTEB leaderboard. The Massive Text Embedding Benchmark (MTEB) evaluates text embedding models across a wide range of tasks and datasets.

Benchmark 124

Benchmark Metrics Enterprise APIs 124

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 124

Benchmark APIs Scripts Engineering 124

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. After the chosen model is ready to be moved into production, the model is deployed (step vi) using the team’s own in-house Model Lifecycle Manager tool.

Advertising 125

Advertising APIs Engineering Benchmark 125

AWS Machine Learning

SEPTEMBER 6, 2023

With the advent of these LLMs or FMs, customers can simply build Generative AI based applications for advertising, knowledge management, and customer support. These SageMaker endpoints are consumed in the Amplify React application through Amazon API Gateway and AWS Lambda functions. You access the React application from your computer.

Enterprise 118

Enterprise APIs Real estate Construction 118

AWS Machine Learning

JULY 2, 2024

You can see that for the 45 models we benchmarked, there is a 1.35x latency improvement (geomean for the 45 models). You can see that for the 33 models we benchmarked, there is around 2x performance improvement (geomean for the 33 models). We benchmarked 45 models using the scripts from the TorchBench repo.

Benchmark 114

Benchmark Scripts Metrics APIs 114

AWS Machine Learning

OCTOBER 18, 2023

The solution uses the following services: Amazon API Gateway is a fully managed service that makes it easy for developers to publish, maintain, monitor, and secure APIs at any scale. AWS CodeBuild is a fully managed continuous integration service in the cloud. DynamoDB is used to store the pet attributes.

APIs 117

APIs Metrics Consulting Consulting 117

CSM Magazine

DECEMBER 27, 2023

Automated API testing stands as a cornerstone in the modern software development cycle, ensuring that applications perform consistently and accurately across diverse systems and technologies. Continuous learning and adaptation are essential, as the landscape of API technology is ever-evolving.

APIs 52

APIs Benchmark Best practices Technology 52

Cincom

FEBRUARY 14, 2025

Integrate CPQ Seamlessly with CRM, ERP, and Contract Management Systems Ensure bidirectional data synchronization between CPQ and CRM so that your sales reps can access the latest customer data and pricing configurations. Use APIs and middleware to bridge gaps between CPQ and existing enterprise systems, ensuring smooth data flow.

Best practices 40

Best practices Sales CRM Finance 40

AWS Machine Learning

FEBRUARY 8, 2023

Although you can integrate the model directly into an application, the approach that works well for production-grade applications is to deploy the model behind an endpoint and then invoke the endpoint via a RESTful API call to obtain the inference. However, you can use any other benchmarking tool. large two-core machine.

Benchmark 93

Benchmark Metrics APIs Engineering 93

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. Get in touch.

Telecommunications 92

Telecommunications APIs Benchmark Enterprise 92

AWS Machine Learning

APRIL 22, 2024

These examples include speeding up market trend analysis, ensuring accurate risk management and compliance, and facilitating data collection or report generation. This involves documenting data lineage, data versioning, automating data processing, and monitoring data management costs.

Best practices 133

Best practices Benchmark Transportation Engineering 133

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. In this post, we present a solution that D2L.ai

APIs 92

APIs Benchmark Best practices Engineering 92

AWS Machine Learning

JUNE 6, 2024

Jina Embeddings v2 is the preferred choice for experienced ML scientists for the following reasons: State-of-the-art performance – We have shown on various text embedding benchmarks that Jina Embeddings v2 models excel on tasks such as classification, reranking, summarization, and retrieval.

Benchmark 112

Benchmark Enterprise Construction APIs 112

AWS Machine Learning

JUNE 13, 2023

SageMaker and Forethought SageMaker is a fully managed service that provides developers and data scientists the ability to build, train, and deploy ML models quickly. It also reduces deployment overhead because SageMaker manages loading and unloading models in memory and scaling them based on the endpoint’s traffic patterns.

APIs 78

APIs Benchmark Engineering Management 78

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. It’s serverless, so you don’t have to manage any infrastructure.

Healthcare 128

Healthcare Engineering APIs Benchmark 128

AWS Machine Learning

NOVEMBER 22, 2023

Delegating complex AI tasks – You can enable faster AI adoption in your organization by offloading the ML model development lifecycle to managed services and taking advantage of the model development and infrastructure provided by AWS. This helps you avoid throttling limits on API calls due to polling the Get* APIs.

APIs 113

APIs Metrics Benchmark Enterprise 113

AWS Machine Learning

AUGUST 18, 2022

Amazon SageMaker is a fully-managed service for ML, and SageMaker model training is an optimized compute environment for high-performance training at scale. The team’s early benchmarking results show 7.3 The following table summarizes the benchmarking result on ml.p3.16xlarge SageMaker training instances. Number of Instances.

Scripts 95

Scripts APIs Benchmark Engineering 95

AWS Machine Learning

APRIL 20, 2023

An advanced job is a custom load test job that allows you to perform extensive benchmarks based on your ML application SLA requirements, such as latency, concurrency, and traffic pattern. Inference Recommender uses this information to run a performance benchmark load test. Running Advanced job. sm_client = boto3.client("sagemaker",

APIs 95

APIs Metrics Benchmark Engineering 95

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 125

Government Education Best practices APIs 125

Fonolo

NOVEMBER 14, 2018

It’s important for all departments to have benchmarks for success that can be easily measured and tracked. Call center and customer service teams have a variety of KPIs to choose from, but as each company and support department is different, their benchmarks will vary. Roland Selmer is VP of CPaaS Product Management at Vonage.

Benchmark 85

Benchmark Abandon rate Call Center Abandon Call 85

AWS Machine Learning

SEPTEMBER 12, 2024

On Hugging Face, the Massive Text Embedding Benchmark (MTEB) is provided as a leaderboard for diverse text embedding tasks. It currently provides 129 benchmarking datasets across 8 different tasks on 113 languages. medium instance to demonstrate deploying the model as an API endpoint using an SDK through SageMaker JumpStart.

APIs 128

APIs Benchmark Enterprise Construction 128

Netomi

SEPTEMBER 20, 2021

Knowledge Base Management. Users have a single inbox for all messages – whether taking place on Messenger or on webchat – which provides a really efficient way to manage cross-platform customer interactions. 5 Ways Customer Service Managers Can Create a Better Experience With AI. Key features . Alerts / Escalation.

Chatbots 126

Chatbots APIs Surveys Analytics 126

AWS Machine Learning

NOVEMBER 30, 2023

As a fully managed service, you can scale your model deployments, minimize inference costs, and manage your models more effectively in production with reduced operational burden. Alan Tan is a Senior Product Manager with SageMaker, leading efforts on large model inference. Outside of work, he enjoys the outdoors.

Engineering 111

Engineering APIs Benchmark Enterprise 111

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. The application’s frontend is accessible through Amazon API Gateway , using both edge and private gateways.

Engineering 119

Engineering Construction APIs Benchmark 119

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

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. testingRTC simulates any user behavior using our powerful Nightwatch scripting, you can manage these scripts via our handy git integration. Happy days!

Scripts 98

Scripts APIs Metrics Analytics 98

AWS Machine Learning

JUNE 12, 2024

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading artificial intelligence (AI) startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case. AWS Management Console access to create an AWS Cloud9 instance.

APIs 125

APIs Accountability Benchmark Government 125

AWS Machine Learning

SEPTEMBER 11, 2024

In terms of resulting speedups, the approximate order is programming hardware, then programming against PBA APIs, then programming in an unmanaged language such as C++, then a managed language such as Python. The CUDA API and SDK were first released by NVIDIA in 2007. GPU PBAs, 4% other PBAs, 4% FPGA, and 0.5%

Benchmark 96

Benchmark Banking Analytics Big data 96

JivoChat

JUNE 20, 2022

Data and time API. Rest API Testing (Automation) from Scratch-Rest Assured Java. With the Rest API Testing (Automation) from Scratch-Rest Assured Java, you will learn how to design and implement structured API automation, and also generate excellent client reports for API test execution results. . JVM internals.

APIs 75

APIs Benchmark Best practices Construction 75

AWS Machine Learning

JULY 18, 2024

With this capability, they manage to reduce 200 days of human experts’ work. The post delves into the challenges faced, such as managing quota limitations, estimating costs, and handling unexpected model responses. This highlighted the importance of comprehensive testing and benchmarking.

APIs 115

APIs Technology Analytics Benchmark 115