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 101

Education Engineering APIs Enterprise 101

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 75

APIs Management Benchmark Scripts 75

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 122

Benchmark Metrics Enterprise APIs 122

AWS Machine Learning

NOVEMBER 19, 2024

Explore advanced models, like Idefics2 and Chameleon, to build exceptional AI assistants capable of OCR, document analysis, visual reasoning, and creative content generation. First, hear an overview of identity-aware APIs, and then learn how to configure an identity provider as a trusted token issuer.

APIs 88

APIs Enterprise Best practices Government 88

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 122

Advertising APIs Engineering Benchmark 122

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

aircall

FEBRUARY 26, 2018

The current benchmark is set for 96% customer satisfaction, but they regularly surpass this number. Using Aircall’s open API, users can create customizable integrations. The post GetApp Analysis Declares Aircall a Call Center Software Leader appeared first on Customer Experience & Cloud Call Center | Aircall Blog.

call center software 59

call center software Call Center First call resolution Technical Support 59

AWS Machine Learning

JUNE 25, 2024

Example use cases for Jamba-Instruct Jamba-Instruct’s long context length is particularly well-suited for complex Retrieval Augmented Generation (RAG) workloads, or potentially complex document analysis. Programmatic access You can also access Jamba-Instruct through an API, using Amazon Bedrock and AWS SDK for Python (Boto3).

APIs 115

APIs Benchmark Enterprise Technology 115

AWS Machine Learning

JULY 18, 2024

streamlined the analysis of over 70,000 vulnerabilities, automating a process that would have been nearly impossible to accomplish manually. We also provide insights into the model selection process, results analysis, conclusions, recommendations, and Mend.io’s future outlook on integrating artificial intelligence (AI) in cybersecurity.

APIs 112

APIs Technology Analytics Benchmark 112

AWS Machine Learning

APRIL 22, 2024

These examples include speeding up market trend analysis, ensuring accurate risk management and compliance, and facilitating data collection or report generation. You can use resources such as the Amazon Sustainability Data Initiative or the AWS Data Exchange to simplify and expedite the acquisition and analysis of comprehensive datasets.

Best practices 130

Best practices Benchmark Transportation Engineering 130

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 122

Government Education Best practices APIs 122

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. Finally, we present a comparative analysis of latency improvements with LOR over the default routing strategy of random routing.

Engineering 108

Engineering APIs Benchmark Enterprise 108

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 82

APIs Scripts Metrics Benchmark 82

Netomi

SEPTEMBER 20, 2021

Sentiment analysis for contextual next best action. CSML helps developers build and deploy chatbots easily with its expressive syntax and its capacity to connect to any third party API. Self-service APIs to help you create, manage, test and publish custom skills. Key features. Reinforcement learning and ongoing optimization.

Chatbots 126

Chatbots APIs Surveys Analytics 126

Balto

MARCH 17, 2025

Defining Call Center Analytics Call center analytics refers to the collection, measurement, and analysis of call center data to improve performance and customer experience. While automation can process this data efficiently, human analysis remains crucial. The winning approach combines automated analytics with human judgment.

Call Center 52

Call Center Customer Experience Average Handle Time Analytics 52

AWS Machine Learning

JUNE 21, 2024

eSentire used instances with CPU for data preprocessing and post-inference analysis and GPU for the actual model (LLM) training. The application’s frontend is accessible through Amazon API Gateway , using both edge and private gateways. The following diagram visualizes the architecture diagram and workflow.

Engineering 117

Engineering Construction APIs Benchmark 117

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. It’s serverless, so you don’t have to manage any infrastructure.

Healthcare 125

Healthcare Engineering APIs Benchmark 125

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. Analysis of publications containing accelerated compute workloads by Zeta-Alpha shows a breakdown of 91.5%

Benchmark 93

Benchmark Banking Analytics Big data 93

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. AWS Cost Explorer – Configure AWS Cost Explorer for your workload and accounts to visualize your cost data for further analysis.

Finance 99

Finance Best practices APIs Accountability 99

AWS Machine Learning

JANUARY 10, 2023

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. We first benchmark the performance of our model on a single instance to identify the TPS it can handle per our acceptable latency requirements.

Best practices 84

Best practices Scripts APIs Metrics 84

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 118

Enterprise APIs Benchmark Scripts 118

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 Accountability 94

AWS Machine Learning

MARCH 13, 2024

Now, let’s look at latency and throughput performance benchmarking for model serving with the default JumpStart deployment configuration. For more information on how to consider this information and adjust deployment configurations for your specific use case, see Benchmark and optimize endpoint deployment in Amazon SageMaker JumpStart.

Benchmark 126

Benchmark Scripts APIs Feedback 126

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 80

APIs Benchmark Education Marketing 80

AWS Machine Learning

MARCH 14, 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 via a single API. Kojima et al. 2022) introduced an idea of zero-shot CoT by using FMs’ untapped zero-shot capabilities.

Best practices 125

Best practices Engineering Chatbots Enterprise 125

AWS Machine Learning

JULY 25, 2024

Although existing large language model (LLM) benchmarks like MT-bench evaluate model capabilities, they lack the ability to validate the application layers. Evaluator considerations By default, evaluators use the InvokeModel API with On-Demand mode, which will incur AWS charges based on input tokens processed and output tokens generated.

APIs 125

APIs Engineering Best practices Virtual Agent 125

AWS Machine Learning

FEBRUARY 24, 2023

Two key distinctions are the low altitude, oblique perspective of the imagery and disaster-related features, which are rarely featured in computer vision benchmarks and datasets. Amazon Rekognition makes it easy to add image and video analysis into our applications, using proven, highly scalable, deep learning technology.

APIs 97

APIs Benchmark Government Analytics 97

AWS Machine Learning

JUNE 29, 2022

Syne Tune allows us to find a better hyperparameter configuration that achieves a relative improvement between 1-4% compared to default hyperparameters on popular GLUE benchmark datasets. Furthermore, we add another callback function to Hugging Face’s Trainer API that reports the validation performance after each epoch back to Syne Tune.

Benchmark 89

Benchmark Metrics APIs Scripts 89

AWS Machine Learning

JUNE 6, 2023

This post further walks through a step-by-step implementation of fine-tuning a RoBERTa (Robustly Optimized BERT Pretraining Approach) model for sentiment analysis using AWS Deep Learning AMIs (AWS DLAMI) and AWS Deep Learning Containers (DLCs) on Amazon Elastic Compute Cloud (Amazon EC2 p4d.24xlarge) torch.compile + bf16 + fused AdamW.

Scripts 80

Scripts APIs Benchmark Management 80

AWS Machine Learning

NOVEMBER 1, 2024

Tools and APIs – For example, when you need to teach Anthropic’s Claude 3 Haiku how to use your APIs well. Following this financial data table, a detailed question-answer set is presented to demonstrate the complexity and depth of analysis possible with the TAT-QA dataset.

Best practices 91

Best practices APIs Finance Engineering 91

CSM Magazine

APRIL 29, 2024

In this article, we’ll explore five key capabilities of BI that empower businesses to monitor social media conversations, analyze sentiment, conduct competitor analysis, create customized dashboards and reports, and integrate social media data with other sources for comprehensive analytics.

Analytics 52

Analytics Metrics CRM APIs 52

AWS Machine Learning

MARCH 20, 2023

Refer to the appendix for instance details and benchmark data. Quantizing the model in PyTorch is possible with a few APIs from Intel PyTorch extensions. Benchmark data The following table compares the cost and relative performance between c5 and c6 instances. times greater with INT8 quantization. 2xLarge-FP32 70 110.8

Calibration 89

Calibration Scripts Benchmark APIs 89

Enghouse Interactive

OCTOBER 21, 2020

As noted in the 2019 Dimension Data Customer Experience (CX) Benchmarking report: 88% of contact center decision-makers expect self-service volumes to increase over the next 12 months. Agents will be presented with increasingly more complex situations which will require more engagement, insight and analysis. Act on the results.

Self service 79

Self service Contact Center Benchmark Chatbots 79

AWS Machine Learning

OCTOBER 24, 2022

The plentiful and jointly trained parameters of DL models have a large representational capacity that brought improvements in numerous customer use cases, including image and speech analysis, natural language processing (NLP), time series processing, and more. Speedup techniques implemented in Composer can be accessed with its functional API.

Scripts 88

Scripts Enterprise APIs Benchmark 88

AWS Machine Learning

APRIL 10, 2023

For benchmark performance figures, refer to AWS Neuron Performance. Currently, it has examples for the GPT2, GPT-J, and OPT model types, and different model sizes that have their forward functions re-implemented in a compiled language for extensive code analysis and optimizations. This is particularly useful for large language models.

Engineering 84

Engineering APIs Benchmark Advertising 84

AWS Machine Learning

AUGUST 26, 2024

Organization overview – Analysis of external organization and industry news along with citations to sources, providing account teams with timely discussion topics and positioning strategies. API design Account summary generation requests are handled asynchronously to eliminate client wait times for responses.

Sales 119

Sales Accountability Feedback Metrics 119

AWS Machine Learning

JANUARY 19, 2024

The concepts illustrated in this post can be applied to applications that use PLM features, such as recommendation systems, sentiment analysis, and search engines. The task assigned to the BERT PLM can be a text-based task such as sentiment analysis, text classification, or Q&A. training.py ).

Metrics 116

Metrics Scripts Benchmark Enterprise 116