AWS Machine Learning

JANUARY 29, 2024

This post explores these relationships via a comprehensive benchmarking of LLMs available in Amazon SageMaker JumpStart, including Llama 2, Falcon, and Mistral variants. We provide theoretical principles on how accelerator specifications impact LLM benchmarking. Additionally, models are fully sharded on the supported instance.

Benchmark 123

Benchmark APIs Enterprise Accountability 123

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 117

APIs Engineering Chatbots Construction 117

AWS Machine Learning

MARCH 6, 2025

In the rapidly evolving landscape of artificial intelligence, Retrieval Augmented Generation (RAG) has emerged as a game-changer, revolutionizing how Foundation Models (FMs) interact with organization-specific data. It provides tools for chaining LLM operations, managing context, and integrating external data sources.

Metrics 84

Metrics Enterprise APIs Engineering 84

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 83

APIs Enterprise Benchmark Feedback 83

AWS Machine Learning

JULY 18, 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.

APIs 121

APIs Technology Analytics Benchmark 121

AWS Machine Learning

AUGUST 13, 2024

Generative artificial intelligence (AI) provides an opportunity for improvements in healthcare by combining and analyzing structured and unstructured data across previously disconnected silos. Figure 1: Architecture – Standard Form – Data Extraction & Storage.

Healthcare 130

Healthcare APIs Consulting Consulting 130

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

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 125

Healthcare Government Best practices Engineering 125

AWS Machine Learning

MARCH 3, 2025

First is the network latency, which is the round-trip time for data transmission between the device and the cloud. They enable applications requiring very low latency or local data processing using familiar APIs and tool sets. TTFT consists of two components. model=meta-llama/Llama-3.2-3B

APIs 71

APIs Benchmark Metrics Healthcare 71

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 84

Scripts Benchmark APIs Engineering 84

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 123

Enterprise APIs Real estate Construction 123

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 127

Benchmark APIs Scripts Engineering 127

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

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

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 129

Advertising APIs Engineering Benchmark 129

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 96

APIs Benchmark Best practices Engineering 96

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 136

Best practices Benchmark Transportation Engineering 136

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 98

Benchmark Metrics APIs Engineering 98

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

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 132

Healthcare Engineering APIs Benchmark 132

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 124

APIs Benchmark Enterprise Technology 124

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 123

Engineering Construction APIs Benchmark 123

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 116

Benchmark Enterprise Construction 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 116

APIs Metrics Benchmark Enterprise 116

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 132

Benchmark Scripts APIs Feedback 132

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 98

APIs Metrics Benchmark Engineering 98

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 125

Enterprise APIs Benchmark Scripts 125

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 83

APIs Benchmark Engineering Management 83

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 91

APIs Scripts Metrics Benchmark 91

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 89

Benchmark Engineering APIs Scripts 89

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 130

Government Education Best practices APIs 130

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 128

APIs Accountability Benchmark Government 128

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

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