AWS Machine Learning

FEBRUARY 12, 2025

Amazon Bedrock , a fully managed service offering high-performing foundation models from leading AI companies through a single API, has recently introduced two significant evaluation capabilities: LLM-as-a-judge under Amazon Bedrock Model Evaluation and RAG evaluation for Amazon Bedrock Knowledge Bases. 0]}-{evaluator_model.split('.')[0]}-{datetime.now().strftime('%Y-%m-%d-%H-%M-%S')}"

Metrics 100

Metrics Engineering Benchmark APIs 100

AWS Machine Learning

MARCH 6, 2025

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

Metrics 118

Metrics Enterprise APIs Engineering 118

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 90

APIs Enterprise Benchmark Feedback 90

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 113

Education Engineering APIs Enterprise 113

AWS Machine Learning

DECEMBER 2, 2024

This integration provides a powerful multilingual model that excels in reasoning benchmarks. on benchmarks like XCOPA and TyDiQA, highlighting its versatility and efficiency. outperforming similarly sized models and demonstrating similar performance against larger ones such as Llama-2 34B.

Enterprise 114

Enterprise Benchmark Technology APIs 114

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 79

APIs Management Benchmark Scripts 79

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.

APIs 122

APIs Engineering Chatbots Construction 122

AWS Machine Learning

NOVEMBER 19, 2024

Seamlessly bring your fine-tuned models into a fully managed, serverless environment, and use the Amazon Bedrock standardized API and features like Amazon Bedrock Agents and Amazon Bedrock Knowledge Bases to accelerate generative AI application development.

APIs 103

APIs Enterprise Best practices Government 103

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 131

Benchmark Metrics Enterprise APIs 131

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 124

Benchmark Scripts Metrics APIs 124

AWS Machine Learning

JULY 29, 2024

You can also either use the SageMaker Canvas UI, which provides a visual interface for building and deploying models without needing to write any code or have any ML expertise, or use its automated machine learning (AutoML) APIs for programmatic interactions.

APIs 118

APIs Scripts Benchmark Metrics 118

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 129

Enterprise APIs Real estate Construction 129

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 82

APIs Benchmark Metrics Healthcare 82

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 133

Advertising APIs Engineering Benchmark 133

AWS Machine Learning

NOVEMBER 30, 2023

SageMaker makes it easy to deploy models into production directly through API calls to the service. It’s a low-level API available for Java, C++, Go, JavaScript, Node.js, PHP, Ruby, and Python. It’s a low-level API available for Java, C++, Go, JavaScript, Node.js, PHP, Ruby, and Python.

Benchmark 131

Benchmark APIs Scripts Engineering 131

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

AWS Machine Learning

JULY 18, 2024

The ingestion workflow transforms these curated questions into vector embeddings using Amazon Titan Text Embeddings model API. The system first converts the query into a vector embedding using the Amazon Titan Text Embeddings model API, which is accessed securely through PrivateLink.

Chatbots 136

Chatbots APIs Accountability Finance 136

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 102

Benchmark Metrics APIs Engineering 102

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 128

APIs Metrics Consulting Consulting 128

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).

Benchmark 130

Benchmark APIs Enterprise Technology 130

AWS Machine Learning

MARCH 19, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. A limitation of the approach is its larger computational cost.

APIs 135

APIs Benchmark SaaS Engineering 135

AWS Machine Learning

SEPTEMBER 18, 2024

Together, these AI-driven tools and technologies aren’t just reshaping how brands perform marketing tasks; they’re setting new benchmarks for what’s possible in customer engagement. From our experience, artifact server has some limitations, such as limits on artifact size (because of sending it using REST API).

APIs 124

APIs Engineering Analytics Marketing 124

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 101

APIs Benchmark Best practices Engineering 101

Lumoa

DECEMBER 8, 2022

How to add your competitors’ public reviews to the mix, so you can get a reliable benchmark and win in the market. Lumoa has very clear open APIs and based on your goals, integrations can serve various purposes. How to identify key pain points that you can immediately tackle to increase the score.

Customer Experience 88

Customer Experience Benchmark APIs Marketing 88

AWS Machine Learning

AUGUST 2, 2024

Queries are sent to the backend using a REST API defined in Amazon API Gateway , a fully managed service that makes it straightforward for developers to create, publish, maintain, monitor, and secure APIs at any scale, and implemented through an API Gateway private integration.

APIs 126

APIs Analytics Chatbots Engineering 126

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

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

AUGUST 18, 2022

The team’s early benchmarking results show 7.3 The baseline model used in these benchmarking is a multi-layer perceptron neural network with seven dense fully connected layers and over 200 parameters. The following table summarizes the benchmarking result on ml.p3.16xlarge SageMaker training instances. Number of Instances.

Scripts 105

Scripts APIs Benchmark Engineering 105

AWS Machine Learning

JUNE 13, 2023

In addition, deployments are now as simple as calling Boto3 SageMaker APIs and attaching the proper auto scaling policies. We already had an API layer on top of our models for model management and inference. In keeping with the instance types we were already using, we did our benchmarking with ml.g4dn.xlarge and ml.g4dn.2xlarge

APIs 89

APIs Benchmark Engineering Management 89

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 101

APIs Metrics Benchmark Engineering 101

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 122

Benchmark Enterprise Construction APIs 122

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 94

APIs Scripts Metrics Benchmark 94

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 109

Benchmark Banking Analytics Big data 109

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 135

Government Education Best practices Benchmark 135

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 136

APIs Benchmark Enterprise Construction 136

AWS Machine Learning

NOVEMBER 22, 2023

You can save time, money, and labor by implementing classifications in your workflow, and documents go to downstream applications and APIs based on document type. This helps you avoid throttling limits on API calls due to polling the Get* APIs.

APIs 121

APIs Metrics Benchmark Enterprise 121

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 139

Best practices Benchmark Transportation Engineering 139