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). Refer to Getting started with the API to set up your environment to make Amazon Bedrock requests through the AWS API.

Education 89

Education Engineering APIs Enterprise 89

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 79

APIs Enterprise Benchmark Feedback 79

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. Solution overview The solution comprises two main steps: Generate synthetic data using the Amazon Bedrock InvokeModel API.

APIs 75

APIs Management Benchmark Scripts 75

AWS Machine Learning

NOVEMBER 15, 2024

An alternative approach to routing is to use the native tool use capability (also known as function calling) available within the Bedrock Converse API. In this scenario, each category or data source would be defined as a ‘tool’ within the API, enabling the model to select and use these tools as needed. Put your the code in tags. -

APIs 114

APIs Engineering Chatbots Construction 114

AWS Machine Learning

NOVEMBER 19, 2024

Learn how they created specialized agents for different tasks like account management, repos, pipeline management, and more to help their developers go faster. First, hear an overview of identity-aware APIs, and then learn how to configure an identity provider as a trusted token issuer.

APIs 89

APIs Enterprise Best practices Government 89

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 123

Benchmark Metrics Enterprise APIs 123

AWS Machine Learning

SEPTEMBER 6, 2023

These SageMaker endpoints are consumed in the Amplify React application through Amazon API Gateway and AWS Lambda functions. To protect the application and APIs from inadvertent access, Amazon Cognito is integrated into Amplify React, API Gateway, and Lambda functions. You access the React application from your computer.

Enterprise 117

Enterprise APIs Real estate Construction 117

AWS Machine Learning

MARCH 3, 2025

They enable applications requiring very low latency or local data processing using familiar APIs and tool sets. Through comparative benchmarking tests, we illustrate how deploying FMs in Local Zones closer to end users can significantly reduce latencya critical factor for real-time applications such as conversational AI assistants.

APIs 72

APIs Benchmark Metrics Healthcare 72

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. Under the hood, this tool uses artifacts generated by SageMaker (step vii) which is then deployed into the production AWS account (step viii), using SageMaker SDKs.

Advertising 124

Advertising APIs Engineering Benchmark 124

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

Use APIs and middleware to bridge gaps between CPQ and existing enterprise systems, ensuring smooth data flow. Automate Price Calculations and Adjustments Utilize real-time pricing engines within CPQ to dynamically calculate prices based on market trends, cost fluctuations, and competitor benchmarks.

Best practices 40

Best practices Sales CRM Finance 40

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. Purina’s solution is deployed as an API Gateway HTTP endpoint, which routes the requests to obtain pet attributes.

APIs 116

APIs Metrics Consulting Consulting 116

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 90

APIs Benchmark Best practices Engineering 90

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 91

Benchmark Metrics APIs Engineering 91

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. Prerequisites For this walkthrough, you need the following: An AWS account.

APIs 124

APIs Accountability Benchmark Government 124

AWS Machine Learning

AUGUST 26, 2024

Our field organization includes customer-facing teams (account managers, solutions architects, specialists) and internal support functions (sales operations). Personalized content will be generated at every step, and collaboration within account teams will be seamless with a complete, up-to-date view of the customer.

Sales 121

Sales Accountability Feedback Metrics 121

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 127

APIs Benchmark Enterprise Construction 127

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. None What is the balance for the account 1234?

Best practices 95

Best practices APIs Metrics Accountability 95

Lumoa

JULY 6, 2023

Now, it will also take into account any filters you have selected. Keyword suggestions is Lumoa’s way of helping you improve your Topics , as new feedback comes into your account. Lumoa GPT just got better A select few of you have already been chosen for Lumoa GPT Beta access. to get started! All you have to do, is hit yes!

APIs 15

APIs industry standards Surveys Benchmark 15

AWS Machine Learning

APRIL 22, 2024

Examples of tools you can use to advance sustainability initiatives are: Amazon Bedrock – a fully managed service that provides access to high-performing FMs from leading AI companies through a single API, enabling you to choose the right model for your sustainability use cases.

Best practices 131

Best practices Benchmark Transportation Engineering 131

AWS Machine Learning

JUNE 24, 2022

The generated models are stored and benchmarked in the Amazon SageMaker model registry. We split the environment into multiple AWS accounts: Data lake – Stores all the ingested data from on premises (or other systems) to the cloud. In the same account, Amazon SageMaker Feature Store can be hosted, but we don’t cover it this post.

Enterprise 111

Enterprise Engineering Accountability APIs 111

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 130

Scripts Engineering Accountability APIs 130

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 126

Healthcare Engineering APIs Benchmark 126

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 84

APIs Scripts Metrics Benchmark 84

AWS Machine Learning

JUNE 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.

Metrics 129

Metrics Engineering Accountability Benchmark 129

Netomi

SEPTEMBER 20, 2021

Once you have an account, it’s as simple as CC x.ai CSML helps developers build and deploy chatbots easily with its expressive syntax and its capacity to connect to any third party API. Self-service APIs to help you create, manage, test and publish custom skills. on an email. Key features: . Meeting Scheduler. Meeting Tracker.

Chatbots 126

Chatbots APIs Surveys Analytics 126

AWS Machine Learning

NOVEMBER 22, 2023

Teams should regularly meet and discuss topics such as organizational goals and targets with your IDP solution, current state of cost and usage, and financial and accounting practices. The following is a list of AWS tools that help with cost monitoring and control: AWS Budgets – Configure AWS Budgets on all accounts for your workload.

Finance 100

Finance Best practices APIs Accountability 100

AWS Machine Learning

MARCH 13, 2024

Now, let’s look at latency and throughput performance benchmarking for model serving with the default JumpStart deployment configuration. For more information on how to consider this information and adjust deployment configurations for your specific use case, see Benchmark and optimize endpoint deployment in Amazon SageMaker JumpStart.

Benchmark 127

Benchmark Scripts APIs Feedback 127

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 94

Benchmark Banking Analytics Big data 94

AWS Machine Learning

JULY 25, 2024

Although existing large language model (LLM) benchmarks like MT-bench evaluate model capabilities, they lack the ability to validate the application layers. Begin by creating and testing the agent in your development account. You want to make sure the agent provides correct and reliable information about existing claims to end-users.

APIs 127

APIs Engineering Best practices Virtual Agent 127

Cincom

MARCH 20, 2025

Businesses selling industrial equipment , software packages, or custom-built machinery must account for multiple variablescomponent compatibility, regulatory compliance, and customer-specific requirements. Select a solution that supports API-based integration with your existing eCommerce platform (e.g.,

B2B 40

B2B Sales CRM Finance 40

AWS Machine Learning

APRIL 27, 2023

Similar to the process of PyTorch integration with C++ code, Neuron CustomOps requires a C++ implementation of an operator via a NeuronCore-ported subset of the Torch C++ API. Finally, the custom library is built by calling the load API. For more information, refer to Custom Operators API Reference Guide [Experimental].

APIs 86

APIs Engineering Scripts Benchmark 86

AWS Machine Learning

MARCH 20, 2023

Refer to the appendix for instance details and benchmark data. Quantizing the model in PyTorch is possible with a few APIs from Intel PyTorch extensions. Benchmark data The following table compares the cost and relative performance between c5 and c6 instances. Solutions Architect in the Strategic Accounts team at AWS.

Calibration 91

Calibration Scripts Benchmark APIs 91

AWS Machine Learning

SEPTEMBER 1, 2023

Each business unit has each own set of development (automated model training and building), preproduction (automatic testing), and production (model deployment and serving) accounts to productionize ML use cases, which retrieve data from a centralized or decentralized data lake or data mesh, respectively.

Engineering 123

Engineering Accountability Construction APIs 123

Pointillist

JULY 25, 2018

Pointillist can handle data in all forms, whether it is in tables, excel files, server logs, or 3rd party APIs. 3rd Party APIs: Pointillist has a large number of connectors using 3rd party APIs. Raw data can be sent directly to Pointillist without requiring aggregations or roll-ups of any kind. Getting Data into Pointillist.

Analytics 93

Analytics Government Metrics APIs 93

AWS Machine Learning

JUNE 29, 2022

Syne Tune allows us to find a better hyperparameter configuration that achieves a relative improvement between 1-4% compared to default hyperparameters on popular GLUE benchmark datasets. Furthermore, we add another callback function to Hugging Face’s Trainer API that reports the validation performance after each epoch back to Syne Tune.

Benchmark 91

Benchmark Metrics APIs Scripts 91

AWS Machine Learning

NOVEMBER 30, 2022

For a complete description of Jurassic-1, including benchmarks and quantitative comparisons with other models, refer to the following technical paper. If your default limit for your AWS account is 0, you need to request a limit increase for this GPU instance. You can quickly search for the Jurassic-1 Grande model from the same view.

APIs 84

APIs Benchmark Accountability Chatbots 84