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 135

APIs Scripts Finance Real estate 135

AWS Machine Learning

NOVEMBER 18, 2024

Amazon Bedrock provided the flexibility to explore various leading LLM models using a single API, reducing the undifferentiated heavy lifting associated with hosting third-party models. Continuous model enhancements – Amazon Bedrock provides access to a vast and continuously expanding set of FMs through a single API.

Benchmark 83

Benchmark APIs Engineering Sales 83

AWS Machine Learning

MARCH 15, 2024

This is a guest blog post written by Nitin Kumar, a Lead Data Scientist at T and T Consulting Services, Inc. Medical data restrictions You can use machine learning (ML) to assist doctors and researchers in diagnosis tasks, thereby speeding up the process. This isolated legacy data has the potential for massive impact if cumulated.

Healthcare 117

Healthcare Government Best practices Engineering 117

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 70

Scripts Benchmark APIs Engineering 70

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 121

Benchmark Metrics Enterprise APIs 121

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 93

Benchmark Banking Analytics Big data 93

AWS Machine Learning

OCTOBER 21, 2024

In this blog post, we will introduce how to use an Amazon EC2 Inf2 instance to cost-effectively deploy multiple industry-leading LLMs on AWS Inferentia2 , a purpose-built AWS AI chip, helping customers to quickly test and open up an API interface to facilitate performance benchmarking and downstream application calls at the same time.

APIs 79

APIs Benchmark Education Marketing 79

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 114

Enterprise APIs Real estate Construction 114

AWS Machine Learning

NOVEMBER 19, 2024

The technical sessions covering generative AI are divided into six areas: First, we’ll spotlight Amazon Q , the generative AI-powered assistant transforming software development and enterprise data utilization. We’ll cover Amazon Bedrock Agents , capable of running complex tasks using your company’s systems and data.

APIs 80

APIs Enterprise Best practices Government 80

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 122

Benchmark APIs Scripts Engineering 122

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 85

APIs Benchmark Best practices Engineering 85

AWS Machine Learning

NOVEMBER 1, 2024

By fine-tuning, the LLM can adapt its knowledge base to specific data and tasks, resulting in enhanced task-specific capabilities. We discuss the important components of fine-tuning, including use case definition, data preparation, model customization, and performance evaluation.

Best practices 90

Best practices APIs Finance Metrics 90

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 94

Best practices APIs Metrics Benchmark 94

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 122

APIs Benchmark Enterprise Construction 122

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 106

APIs Engineering Chatbots Construction 106

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 73

APIs Benchmark Engineering Management 73

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 121

Advertising APIs Engineering Benchmark 121

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 87

Benchmark Metrics APIs Engineering 87

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 113

Benchmark APIs Enterprise Technology 113

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 108

Benchmark Enterprise Construction APIs 108

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 116

Engineering Construction Benchmark APIs 116

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 111

APIs Metrics Benchmark Enterprise 111

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 116

Enterprise APIs Benchmark Scripts 116

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 127

Best practices Benchmark Transportation Engineering 127

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 122

Healthcare Engineering APIs Benchmark 122

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 124

Benchmark Scripts APIs Feedback 124

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

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 88

APIs Metrics Benchmark Engineering 88

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 78

APIs Scripts Metrics Benchmark 78

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 76

Benchmark Engineering APIs Scripts 76

CSM Magazine

APRIL 29, 2024

With the vast amount of data generated on social media platforms every second, harnessing this information effectively can be challenging. Through the use of advanced data collection techniques and APIs, BI platforms continuously gather data from various social media channels such as Twitter, Facebook, Instagram, LinkedIn, and more.

Analytics 52

Analytics Metrics CRM Benchmark 52

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

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 119

Government Education Best practices Benchmark 119

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 122

APIs Accountability Benchmark Government 122

Hodusoft

SEPTEMBER 18, 2024

Data Management Manual HMO call centers handle patient information manually. It not only increases the risk of errors but also data inconsistencies. Data Security HMO call centers handle sensitive patient information. That makes data security and privacy a major concern.

Call Center 52

Call Center Contact center software Healthcare Contact Center 52

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 80

APIs Engineering Scripts Benchmark 80

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