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 126

Engineering APIs Benchmark Enterprise 126

AWS Machine Learning

NOVEMBER 15, 2024

Oil and gas data analysis – Before beginning operations at a well a well, an oil and gas company will collect and process a diverse range of data to identify potential reservoirs, assess risks, and optimize drilling strategies. Consider a financial data analysis system. We give more details on that aspect later in this post.

APIs 127

APIs Engineering Chatbots Construction 127

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 139

Best practices Benchmark Transportation Engineering 139

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 134

Government Education Best practices APIs 134

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 93

APIs Scripts Metrics Benchmark 93

AWS Machine Learning

NOVEMBER 26, 2024

Figure 1: Confusion matrix for the five-severity-level classification using Anthropic Claude 3 Sonnet The performance observed in this benchmark task indicates this is a particularly hard problem for an unmodified, all-purpose LLM, and the problem requires a more specialized model, specifically trained or fine-tuned on cybersecurity data.

APIs 103

APIs Metrics SaaS Engineering 103

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 113

Benchmark Banking Analytics Big data 113

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 131

Engineering Construction APIs Benchmark 131

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 119

Finance Best practices APIs Accountability 119

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 136

Healthcare Engineering APIs Benchmark 136

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 99

Best practices Scripts APIs Metrics 99

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 137

Benchmark Scripts APIs Feedback 137

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 136

Best practices Engineering Chatbots Enterprise 136

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 92

APIs Benchmark Education Marketing 92

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 132

Enterprise APIs Benchmark Scripts 132

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 103

Best practices APIs Metrics Accountability 103

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 136

APIs Engineering Best practices Virtual Agent 136

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 102

Benchmark Metrics APIs Scripts 102

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 91

Scripts APIs Benchmark Management 91

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 104

APIs Benchmark Government Analytics 104

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 101

Best practices APIs Finance Metrics 101

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 131

Metrics Scripts Benchmark Enterprise 131

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 99

Engineering APIs Benchmark Advertising 99

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 97

Calibration Scripts Benchmark APIs 97

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 96

Scripts Enterprise APIs Benchmark 96

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

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 133

Sales Accountability Feedback Metrics 133

AWS Machine Learning

JULY 24, 2023

Patsnap provides a global one-stop platform for patent search, analysis, and management. as_trt_engine(output_fpath=trt_path, profiles=profiles) gpt2_trt = GPT2TRTDecoder(gpt2_engine, metadata, config, max_sequence_length=42, batch_size=10) Latency comparison: PyTorch vs. TensorRT JMeter is used for performance benchmarking in this project.

APIs 88

APIs Engineering Construction Benchmark 88

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 108

APIs Enterprise Best practices Government 108

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

JUNE 24, 2022

The generated models are stored and benchmarked in the Amazon SageMaker model registry. This might be a triggering mechanism via Amazon EventBridge , Amazon API Gateway , AWS Lambda functions, or SageMaker Pipelines. Application infrastructure – Hosts the source code of the infrastructure necessary to run the inference, if necessary.

Enterprise 127

Enterprise Engineering Accountability APIs 127

AWS Machine Learning

JUNE 20, 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.

Metrics 138

Metrics Engineering Accountability Benchmark 138

Spearline

JANUARY 23, 2018

An API (Application Programming Interface) will enhance your utilisation of our platform. Our RESTful API provides your developers with the ability to create campaigns, add numbers, time groups, export data for every test run, every day, every hour, every minute if that’s what you need to put your arms around your business.

Benchmark 40

Benchmark Call flow APIs Big data 40

AWS Machine Learning

JUNE 9, 2023

Introducing GraphStorm Graph algorithms and graph ML are emerging as state-of-the-art solutions for many important business problems like predicting transaction risks, anticipating customer preferences, detecting intrusions, optimizing supply chains, social network analysis, and traffic prediction.

Enterprise 110

Enterprise Construction Engineering Metrics 110

AWS Machine Learning

DECEMBER 6, 2022

The Trainer class provides an API for feature-complete training in PyTorch. We observe that the adversarial trained model has a lower ASR, with an 62.21% decrease using the original model ASR as the benchmark. AWS offers pre-trained AWS AI services that can be integrated into applications using API calls and require no ML experience.

Engineering 94

Engineering APIs Construction Metrics 94

AWS Machine Learning

NOVEMBER 22, 2024

Dataset The dataset for this post is manually distilled from the Amazon Science evaluation benchmark dataset called TofuEval. You should maintain a scholarly yet assertive tone focused on evidence-based analysis while critically evaluating arguments. Details on the exact dataset can be found in the GitHub repository.

Consulting 108

Consulting Consulting APIs Calibration 108

AWS Machine Learning

SEPTEMBER 26, 2024

This text-to-video API generates high-quality, realistic videos quickly from text and images. The Jupyter notebook application experience within VS Code provides a familiar and intuitive interface for iterative experimentation and analysis. Luma AI’s recently launched Dream Machine represents a significant advancement in this field.

Scripts 128

Scripts APIs Metrics Management 128