AWS Machine Learning

MAY 2, 2024

They are commonly used in knowledge bases to represent textual data as dense vectors, enabling efficient similarity search and retrieval. 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.

Benchmark 126

Benchmark Metrics Enterprise APIs 126

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.

Metrics 100

Metrics Engineering APIs Benchmark 100

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 126

Enterprise APIs Real estate Construction 126

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 126

Benchmark APIs Scripts Engineering 126

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 102

APIs Benchmark Best practices Engineering 102

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 130

Advertising APIs Engineering Benchmark 130

AWS Machine Learning

JANUARY 28, 2025

Consider benchmarking your user experience to find the best latency for your use case, considering that most humans cant read faster than 225 words per minute and therefore extremely fast response can hinder user experience. This variation stems from data travel time across networks and geographic distances.

Benchmark 75

Benchmark APIs Engineering Metrics 75

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

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 102

Benchmark Metrics APIs Engineering 102

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 138

Best practices Benchmark Transportation Engineering 138

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 131

APIs Benchmark Enterprise Technology 131

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 133

Benchmark Scripts APIs Feedback 133

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 134

Healthcare Engineering APIs Benchmark 134

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 105

APIs Entertainment Benchmark Advertising 105

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 95

APIs Benchmark Engineering Management 95

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 132

APIs Benchmark Enterprise Construction 132

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

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 124

Engineering Construction APIs Benchmark 124

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 117

Benchmark Enterprise Construction APIs 117

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 101

APIs Metrics SaaS Engineering 101

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 116

APIs Metrics Benchmark Enterprise 116

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 98

APIs Scripts Metrics Benchmark 98

AWS Machine Learning

DECEMBER 16, 2022

Foundation models are large deep learning models trained on a vast quantity of data at scale. Earlier this year, SMP launched sharded data parallelism , a distributed training technique powered by Amazon in-house MiCS technology under the hood. FlashAttention is introduced in Dao et al. 24xlarge instances. 24xlarge instances.

Benchmark 97

Benchmark Engineering APIs Scripts 97

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 101

APIs Metrics Benchmark Engineering 101

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 127

Enterprise APIs Benchmark Scripts 127

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 133

Best practices Engineering Chatbots Enterprise 133

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 APIs 135

AWS Machine Learning

AUGUST 3, 2022

For example, you can immediately start detecting entities such as people, places, commercial items, dates, and quantities via the Amazon Comprehend console , AWS Command Line Interface , or Amazon Comprehend APIs. To train a custom entity recognizer, you can provide training data to Amazon Comprehend as annotations or entity lists.

Benchmark 96

Benchmark APIs Metrics Scripts 96

AWS Machine Learning

JANUARY 10, 2023

With SageMaker, data scientists and developers can quickly and easily build and train ML models, and then directly deploy them into a production-ready hosted environment. It provides an integrated Jupyter authoring notebook instance for easy access to your data sources for exploration and analysis, so you don’t have to manage servers.

Best practices 100

Best practices Scripts APIs Metrics 100

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 127

APIs Accountability Benchmark Government 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. In Part 1, we focus on creating accurate and reliable agents.

Best practices 97

Best practices APIs Metrics Accountability 97

AWS Machine Learning

APRIL 12, 2023

With “Science of Gaming” as their core philosophy, they have enabled a vision of end-to-end informatics around game dynamics, game platforms, and players by consolidating orthogonal research directions of game AI, game data science, and game user research. The already existing solution through Step Functions had limitations.

Scripts 107

Scripts APIs Metrics Best practices 107

AWS Machine Learning

APRIL 27, 2023

Trainium support for custom operators Trainium (and AWS Inferentia2) supports CustomOps in software through the Neuron SDK and accelerates them in hardware using the GPSIMD engine (General Purpose Single Instruction Multiple Data engine). The scalar and vector engines are highly parallelized and optimized for floating-point operations.

APIs 98

APIs Engineering Scripts Benchmark 98

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 134

Scripts Engineering Accountability APIs 134

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

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 116

APIs Engineering Chatbots Construction 116