AWS Machine Learning

DECEMBER 2, 2024

This integration provides a powerful multilingual model that excels in reasoning benchmarks. The integration offers enterprise-grade features including model evaluation metrics, fine-tuning and customization capabilities, and collaboration tools, all while giving customers full control of their deployment.

Enterprise 110

Enterprise Benchmark Technology APIs 110

AWS Machine Learning

SEPTEMBER 28, 2023

In this post, we describe the enhancements to the forecasting capabilities of SageMaker Canvas and guide you on using its user interface (UI) and AutoML APIs for time-series forecasting. While the SageMaker Canvas UI offers a code-free visual interface, the APIs empower developers to interact with these features programmatically.

APIs 118

APIs Construction Finance Enterprise 118

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. Learn how Toyota utilizes analytics to detect emerging themes and unlock insights used by leaders across the enterprise.

APIs 106

APIs Enterprise Best practices Government 106

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 127

Benchmark APIs Enterprise Accountability 127

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 93

APIs Enterprise Benchmark Feedback 93

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 110

Education Engineering APIs Enterprise 110

AWS Machine Learning

JUNE 24, 2022

As enterprise businesses embrace machine learning (ML) across their organizations, manual workflows for building, training, and deploying ML models tend to become bottlenecks to innovation. Building an MLOps foundation that can cover the operations, people, and technology needs of enterprise customers is challenging.

Enterprise 120

Enterprise Engineering Accountability APIs 120

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 127

Benchmark Metrics Enterprise APIs 127

AWS Machine Learning

JUNE 9, 2023

a low-code enterprise graph machine learning (ML) framework to build, train, and deploy graph ML solutions on complex enterprise-scale graphs in days instead of months. Enterprise graphs can require terabytes of memory storage, requiring graph ML scientists to build complex training pipelines. GraphStorm 0.1

Enterprise 103

Enterprise Construction Engineering Metrics 103

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 132

Benchmark APIs Enterprise Technology 132

AWS Machine Learning

JULY 18, 2024

Small business proprietors tend to prioritize the operational aspects of their enterprises over administrative tasks, such as maintaining financial records and accounting. The ingestion workflow transforms these curated questions into vector embeddings using Amazon Titan Text Embeddings model API.

Chatbots 133

Chatbots APIs Accountability Finance 133

Interaction Metrics

APRIL 17, 2025

If youre a large enterprise with a team of analysts and a six-figure budget, it might be perfect. Best For Enterprise teams (especially in finance or hospitality) that need visibility into the full customer journey and fast insights from multiple touchpoints. Qualtrics is the industry standard for customer experience surveys.

Surveys 48

Surveys Enterprise B2B Analytics 48

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. To learn more, refer to API documentation.

Enterprise 128

Enterprise APIs Benchmark Scripts 128

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 118

Benchmark Enterprise Construction APIs 118

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. WORKING TOGETHER. 'Patrick'

Telecommunications 92

Telecommunications APIs Benchmark Enterprise 92

AWS Machine Learning

NOVEMBER 22, 2023

To build an enterprise solution, developer resources, cost, time and user-experience have to be balanced to achieve the desired business outcome. 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.

APIs 117

APIs Metrics Benchmark Enterprise 117

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 103

Benchmark Metrics APIs Engineering 103

Cincom

FEBRUARY 14, 2025

Use APIs and middleware to bridge gaps between CPQ and existing enterprise systems, ensuring smooth data flow. Apply multi-tier approvals for large enterprise deals, ensuring senior sales leaders can intervene when necessary. Implement event-driven architecture where updates in CRM (e.g.,

Best practices 40

Best practices Sales CRM Finance 40

AWS Machine Learning

SEPTEMBER 18, 2024

Zeta Global is a leading data-driven, cloud-based marketing technology company that empowers enterprises to acquire, grow and retain customers. 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.

APIs 120

APIs Engineering Analytics Marketing 120

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 95

APIs Benchmark Engineering Management 95

AWS Machine Learning

MARCH 14, 2024

When applying these approaches, we discuss key considerations around potential hallucination, integration with enterprise data, output quality, and cost. Their research indicates that zero-shot CoT, using the same single-prompt template, significantly outperforms zero-shot FM performances on diverse benchmark reasoning tasks.

Best practices 134

Best practices Engineering Chatbots Enterprise 134

AWS Machine Learning

SEPTEMBER 12, 2024

In this post, we provide a step-by-step guide for creating an enterprise ready RAG application such as a question answering bot. On Hugging Face, the Massive Text Embedding Benchmark (MTEB) is provided as a leaderboard for diverse text embedding tasks. We use the Llama3-8B FM for text generation and the BGE Large EN v1.5

APIs 133

APIs Benchmark Enterprise Construction 133

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

NOVEMBER 30, 2023

When ML models deployed on instances receive API calls from a large number of clients, a random distribution of requests can work very well when there is not a lot of variability in your requests and responses. The endpoint uniformly distributes incoming requests to ML instances using a round-robin algorithm.

Engineering 120

Engineering Benchmark APIs Enterprise 120

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 112

Benchmark Banking Analytics Big data 112

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. A modern healthcare data strategy enables the curation and indexing of enterprise data.

Healthcare 135

Healthcare Engineering APIs Benchmark 135

Upstream Works

MARCH 21, 2019

Establishing customer trust and loyalty is the single most important aspect of customer experience, according to the Dimension Data 2019 Global Customer Experience Benchmarking Report. When we speak of Customer Experience (CX) and strategies for improving it, we need to clearly define the inherent business value.

Customer Experience 92

Customer Experience Management Contact center software Self service 92

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 98

Best practices APIs Metrics Accountability 98

AWS Machine Learning

NOVEMBER 22, 2023

Split documents into single pages for specific FeatureType processing – FeatureType is a parameter for the Document Analysis API calls (both synchronous and asynchronous ) in Amazon Textract. Brijesh Pati is an Enterprise Solutions Architect at AWS. Amazon Textract charges based on the number of pages and images processed.

Finance 112

Finance Best practices APIs Accountability 112

ProProfs Blog

OCTOBER 25, 2021

Pricing for enterprises and businesses: Custom pricing. (c) Enterprise plan at custom prices. (e) Create actionable industry benchmarks spread over the industry, touchpoint, or channels. With Trustpilot’s API, customize review invitations via chat, QR code, and more. Enterprise plan is available with custom pricing. (d)

Feedback 148

Feedback Surveys Enterprise Analytics 148

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 85

APIs Benchmark Education Marketing 85

AWS Machine Learning

JUNE 5, 2023

Autotune uses best practices as well as internal benchmarks for selecting the appropriate ranges. Raviteja Yelamanchili is an Enterprise Solutions Architect with Amazon Web Services based in New York. Using the previous example, the hyperparameters that Autotune can choose to be tunable are lr and batch-size.

APIs 98

APIs Enterprise Benchmark Metrics 98

AWS Machine Learning

JULY 26, 2023

We compile the UNet for one batch (by using input tensors with one batch), then use the torch_neuronx.DataParallel API to load this single batch model onto each core. Load the UNet model onto two Neuron cores using the torch_neuronx.DataParallel API. Create the SageMaker endpoint We use Boto3 APIs to create a SageMaker endpoint.

Scripts 98

Scripts APIs Benchmark Engineering 98

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.

APIs 128

APIs Accountability Benchmark Government 128

RichCall

SEPTEMBER 13, 2017

Check out what recent reports and experts suggest, and take part in a contact center benchmarking survey to get more accurate data on the current contact center trends. Global Contact Centre Benchmarking Report, Dimension Data 2017. Dimension Data’s 2016 Global Contact Centre Benchmarking Report, © Dimension Data 2013-2016.

Contact Center 64

Contact Center Technology Benchmark Chatbots 64

AWS Machine Learning

OCTOBER 24, 2022

At the time of this writing, it supports PyTorch and includes 25 techniques—called methods in the MosaicML world—along with standard models, datasets, and benchmarks. Speedup techniques implemented in Composer can be accessed with its functional API. Composer is available via pip : pip install mosaicml.

Scripts 98

Scripts Enterprise Benchmark APIs 98

AWS Machine Learning

JUNE 9, 2023

Furthermore, we benchmark the ResNet50 model and see the performance benefits that ONNX provides when compared to PyTorch and TensorRT versions of the same model, using the same input. The testing benchmark results are as follows: PyTorch – 176 milliseconds, cold start 6 seconds TensorRT – 174 milliseconds, cold start 4.5 seconds to 1.61

Benchmark 120

Benchmark Engineering Enterprise APIs 120