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 97

Benchmark Enterprise Construction APIs 97

JivoChat

JUNE 20, 2022

You will be able to take the Oracle Java Certificate exam, for example, and obtain proficiency in Java 8 and 11. . Data and time API. Live Examples in Automating Web applications in all supported Browsers. Rest API Testing (Automation) from Scratch-Rest Assured Java. Main topics: Rest API basics and terminology.

APIs 75

APIs Benchmark Best practices Construction 75

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 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. The following screenshot shows an example email.

APIs 111

APIs Accountability Benchmark Government 111

AWS Machine Learning

JUNE 21, 2024

The application’s frontend is accessible through Amazon API Gateway , using both edge and private gateways. Amazon Bedrock offers a practical environment for benchmarking and a cost-effective solution for managing workloads due to its serverless operation. The following diagram visualizes the architecture diagram and workflow.

Engineering 104

Engineering Construction APIs Benchmark 104

AWS Machine Learning

NOVEMBER 22, 2023

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. For example, by storing a document in the different processed phases, you can reverse processing to the previous step if needed.

APIs 100

APIs Metrics Benchmark Enterprise 100

AWS Machine Learning

AUGUST 3, 2022

For example, you can immediately start detecting entities such as people, places, commercial items, dates, and quantities via the Amazon Comprehend console , AWS Command Line Interface , or Amazon Comprehend APIs. Sampling configuration and benchmarking process. Dataset preparation.

Benchmark 71

Benchmark APIs Metrics Scripts 71

CSM Magazine

APRIL 29, 2024

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. Real-time monitoring allows businesses to promptly respond to customer inquiries, address complaints, and capitalize on emerging opportunities.

Analytics 52

Analytics Metrics CRM APIs 52

AWS Machine Learning

JULY 9, 2024

Sonnet currently ranks at the top of S&P AI Benchmarks by Kensho , which assesses large language models (LLMs) for finance and business. For example, there could be leakage of benchmark datasets’ questions and answers into training data. Anthropic Claude 3.5 Kensho is the AI Innovation Hub for S&P Global.

Finance 112

Finance Benchmark industry standards Accountability 112

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 95

Engineering APIs Benchmark Enterprise 95

AWS Machine Learning

JUNE 5, 2023

For example, when a neural network is trained, the weight of the network nodes is learned from the training, and indicates how much impact it has on the final prediction. The number of hidden layers and the number of nodes are some of the examples of hyperparameters you can set for a neural network.

APIs 81

APIs Enterprise Benchmark Metrics 81

AWS Machine Learning

MARCH 20, 2023

In the following example figure, we show INT8 inference performance in C6i for a BERT-base model. Refer to the appendix for instance details and benchmark data. The following example is a question answering algorithm using a BERT-base model. The code snippets are derived from a SageMaker example.

Calibration 82

Calibration Scripts Benchmark APIs 82

AWS Machine Learning

NOVEMBER 30, 2022

For a complete description of Jurassic-1, including benchmarks and quantitative comparisons with other models, refer to the following technical paper. J1 can be applied to virtually any language task by crafting a suitable prompt containing a description of the task and a few examples, a process commonly known as prompt engineering.

APIs 76

APIs Benchmark Accountability Chatbots 76

Comm100

SEPTEMBER 23, 2021

For example, if they want to connect on Facebook, you should make this happen. For example, ensure you have humans keeping tabs on the live chat so that they can effortlessly take over the conversation when the need arises. That said, there’s a need for your business to meet your customers where they are.

Customer Service 85

Customer Service Chatbots APIs Benchmark 85

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. Results The following code shows an example of our results. OpenSearch Dashboard also enables users to search and run analytics with this dataset.

APIs 90

APIs Benchmark Government Analytics 90

Netomi

FEBRUARY 10, 2023

Examples include Deepmind Sparrow, Facebook Galactica, ChatGPT, Github Copilot, and Google’s Bard, among others. Semi-open Typically, these models can be used for training and inference through APIs. Examples include the GPT-3.5 from OpenAI and the Alexa teacher Model in the Amazon Web Services (AWS) environment.

Chatbots 59

Chatbots APIs Benchmark Technology 59

AWS Machine Learning

DECEMBER 6, 2022

Research has shown that deep neural network models don’t make accurate predictions when faced with adversarial examples. Adversarial examples are intentionally perturbed inputs, aiming to mislead machine learning (ML) models towards incorrect outputs. Solution overview. Adversarial training. This process is called adversarial training.

Engineering 78

Engineering APIs Construction Metrics 78

AWS Machine Learning

SEPTEMBER 1, 2023

Example use cases are clothing design generation or imaginary personalized images. One main generative AI use case example is music composition. In this scenario, the generative AI application, designed by the consumer, must interact with the fine-tuner backend via APIs to deliver this functionality to the end-users.

Engineering 110

Engineering Accountability Construction APIs 110

AWS Machine Learning

NOVEMBER 16, 2023

The more detailed AI ToolSuite requirements were driven by three example use cases: Develop a computer vision application aimed at object detection at the edge. Enable a data science team to manage a family of classic ML models for benchmarking statistics across multiple medical units.

Healthcare 96

Healthcare Government Engineering APIs 96

NobelBiz

FEBRUARY 15, 2023

An example of this would be creating training videos on using a social media solution to engage customers and potential customers or in case of a video, making the video available for employees to watch before going into customer contact. For example, monitor for at least one month or every three months.

Call Center 52

Call Center Scripts Average Handle Time Customer effort 52

Lumoa

JULY 6, 2023

New API AppStore integration Those of you who are pulling data from the AppStore are going to love this, and if you aren’t pulling AppStore data, there has never been a better time to start! Contact your CS manager or help@lumoa.me if you have questions about this process!

APIs 16

APIs industry standards Surveys Benchmark 16

AWS Machine Learning

AUGUST 13, 2024

Amazon Bedrock is a fully managed service that makes foundation models (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. Lastly, the Lambda function stores the question list in Amazon S3.

Healthcare 110

Healthcare APIs Consulting Consulting 110

ChurnZero

NOVEMBER 5, 2021

For example, date formats. To learn how ChurnZero helps customers comply with privacy laws, check out our documentation on ChurnZero’s API for privacy laws compliance. For example, increased scalability by doubling the ratio of clients to CSMs. Completeness: Where is data missing or incomplete?

Accountability 52

Accountability CRM APIs Benchmark 52

AWS Machine Learning

OCTOBER 5, 2022

Apache Flink is a distributed streaming, high-throughput, low-latency data flow engine that provides a convenient and easy way to use the Data Stream API, and it supports stateful processing functions, checkpointing, and parallel processing out of the box.

Calibration 96

Calibration Engineering Automotive Analytics 96

ChurnZero

NOVEMBER 5, 2021

For example, date formats. To learn how ChurnZero helps customers comply with privacy laws, check out our documentation on ChurnZero’s API for privacy laws compliance. For example, increased scalability by doubling the ratio of clients to CSMs. Completeness: Where is data missing or incomplete?

Accountability 52

Accountability CRM APIs Benchmark 52

AWS Machine Learning

JUNE 29, 2022

This necessitates the requirement for a fully managed service that can be integrated into applications using API calls without the need for extensive machine learning (ML) expertise. To generate binary labels (for example, toxic or non-toxic), a threshold of 0.5 See the following GitHub example for more details.

Metrics 77

Metrics Telecommunications APIs Benchmark 77

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 103

Benchmark APIs Enterprise Accountability 103

AWS Machine Learning

JULY 2, 2024

You can see that for the 45 models we benchmarked, there is a 1.35x latency improvement (geomean for the 45 models). You can see that for the 33 models we benchmarked, there is around 2x performance improvement (geomean for the 33 models). We benchmarked 45 models using the scripts from the TorchBench repo.

Benchmark 99

Benchmark Scripts Metrics APIs 99

AWS Machine Learning

SEPTEMBER 11, 2024

In this example figure, features are extracted from raw historical data, which are then are fed into a neural network (NN). 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.

Benchmark 77

Benchmark Banking Analytics Big data 77

AWS Machine Learning

MAY 2, 2024

We published a follow-up post on January 31, 2024, and provided code examples using AWS SDKs and LangChain, showcasing a Streamlit semantic search app. For example, in a recommendation system for a large ecommerce platform, a modest increase in recommendation accuracy could translate into significant additional revenue.

Benchmark 110

Benchmark Metrics Enterprise APIs 110

ChurnZero

MARCH 18, 2022

For example, say we knew this $500k customer told us they’re not renewing. We can both contrive examples where it’d be OK. For example, if you’re growing really fast and hiring lots of salespeople that are unproductive, that’s going to drive your CAC up. Then, I’d measure you off the forecast.

SaaS 98

SaaS Metrics Surveys Enterprise 98

AWS Machine Learning

MAY 15, 2024

For example, an advertiser might have static images of their product against a white background. An example from the image generation solution showing a hydro flask with various backgrounds. Acting as a model hub, JumpStart provided a large selection of foundation models and the team quickly ran their benchmarks on candidate models.

Advertising 110

Advertising APIs Engineering Benchmark 110

AWS Machine Learning

APRIL 20, 2023

The majority of data is non-fraudulent (284,315 samples), with only 492 samples corresponding to fraudulent examples. 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. Running Advanced job.

APIs 83

APIs Metrics Benchmark Engineering 83

AWS Machine Learning

MARCH 13, 2024

You will also find a Deploy button, which takes you to a landing page where you can test inference with an example payload. Deploy Gemma with SageMaker Python SDK You can find the code showing the deployment of Gemma on JumpStart and an example of how to use the deployed model in this GitHub notebook. This looks pretty good!

Benchmark 115

Benchmark Scripts APIs Feedback 115

AWS Machine Learning

APRIL 22, 2024

It provides examples of use cases and best practices for using generative AI’s potential to accelerate sustainability and ESG initiatives, as well as insights into the main operational challenges of generative AI for sustainability. Figure 1 illustrates selected examples of use cases of generative AI for sustainability across the value chain.

Best practices 119

Best practices Benchmark Transportation Engineering 119

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 105

Enterprise APIs Benchmark Scripts 105

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. This value range is 0–100%.

Benchmark 81

Benchmark Metrics APIs Engineering 81