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 102

Benchmark Banking Analytics Big data 102

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 119

Benchmark Scripts Metrics APIs 119

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. For example: You are a curious and novel researcher, who is highly interested in getting all the relevant information on a specific topic.

APIs 120

APIs Benchmark Enterprise Technology 120

AWS Machine Learning

NOVEMBER 30, 2023

SageMaker makes it easy to deploy models into production directly through API calls to the service. It’s a low-level API available for Java, C++, Go, JavaScript, Node.js, PHP, Ruby, and Python. It’s a low-level API available for Java, C++, Go, JavaScript, Node.js, PHP, Ruby, and Python.

Benchmark 129

Benchmark APIs Scripts Engineering 129

Lumoa

DECEMBER 8, 2022

How to add your competitors’ public reviews to the mix, so you can get a reliable benchmark and win in the market. There are many ways to use the integration function, and this is just one example. Lumoa has very clear open APIs and based on your goals, integrations can serve various purposes.

Customer Experience 88

Customer Experience APIs Benchmark Marketing 88

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 99

Best practices APIs Metrics Accountability 99

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 128

Advertising APIs Engineering Benchmark 128

AWS Machine Learning

JUNE 15, 2023

It features interactive Jupyter notebooks with self-contained code in PyTorch, JAX, TensorFlow, and MXNet, as well as real-world examples, exposition figures, and math. ACT allows you to customize translation output on the fly by providing tailored translation examples in the form of parallel data.

APIs 94

APIs Benchmark Best practices Engineering 94

AWS Machine Learning

SEPTEMBER 6, 2023

These SageMaker endpoints are consumed in the Amplify React application through Amazon API Gateway and AWS Lambda functions. To protect the application and APIs from inadvertent access, Amazon Cognito is integrated into Amplify React, API Gateway, and Lambda functions. For this example, we use train.cc_casebooks.jsonl.xz

Enterprise 122

Enterprise APIs Real estate Construction 122

AWS Machine Learning

NOVEMBER 1, 2024

As part of this post, we first introduce general best practices for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock, and then present specific examples with the TAT- QA dataset (Tabular And Textual dataset for Question Answering). This comparison can help you understand when and how to apply these different techniques effectively.

Best practices 96

Best practices APIs Finance Engineering 96

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 86

APIs Benchmark Education Marketing 86

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 96

Benchmark Metrics APIs Engineering 96

AWS Machine Learning

NOVEMBER 15, 2024

For example, a technician could query the system about a specific machine part, receiving both textual maintenance history and annotated images showing wear patterns or common failure points, enhancing their ability to diagnose and resolve issues efficiently. has 92% accuracy on the HumanEval code benchmark.

APIs 119

APIs Engineering Chatbots Construction 119

AWS Machine Learning

JUNE 13, 2023

For example, in order to share expensive GPU resources between multiple models, we were responsible for allocating rigid memory fractions to models that were specified during deployment. In addition, deployments are now as simple as calling Boto3 SageMaker APIs and attaching the proper auto scaling policies.

APIs 80

APIs Benchmark Engineering Management 80

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 prompt has three main types of content: input, context, and examples.

Healthcare 129

Healthcare Engineering APIs Benchmark 129

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 84

APIs Scripts Metrics Benchmark 84

AWS Machine Learning

SEPTEMBER 12, 2024

On Hugging Face, the Massive Text Embedding Benchmark (MTEB) is provided as a leaderboard for diverse text embedding tasks. It currently provides 129 benchmarking datasets across 8 different tasks on 113 languages. medium instance to demonstrate deploying the model as an API endpoint using an SDK through SageMaker JumpStart.

APIs 129

APIs Benchmark Enterprise Construction 129

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 124

Enterprise APIs Benchmark Scripts 124

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 95

APIs Metrics Benchmark Engineering 95

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 126

Government Education Best practices APIs 126

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 133

Best practices Benchmark Transportation Engineering 133

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 131

Benchmark Scripts APIs Feedback 131

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 117

Benchmark Enterprise Construction APIs 117

AWS Machine Learning

OCTOBER 31, 2022

For example, 8 V100 GPUs (32GB each) are sufficient to hold the model states replica of a 10B-parameter model which needs about 200GB of memory when training with Adam optimizer using mixed-precision. To get started, follow Modify a PyTorch Training Script to adapt SMPs’ APIs in your training script. Benchmarking performance.

Scripts 76

Scripts Benchmark APIs Engineering 76

AWS Machine Learning

JANUARY 10, 2023

We first benchmark the performance of our model on a single instance to identify the TPS it can handle per our acceptable latency requirements. The entire set of code for the example is available in the following GitHub repository. Overview of solution. For CPUUtilization , you may see percentages above 100% at first in CloudWatch.

Best practices 88

Best practices Scripts APIs Metrics 88

AWS Machine Learning

APRIL 27, 2023

In this post, we cover the benefits of CustomOps, their efficient implementation on Trainium, and examples to get you started with CustomOps on Trainium-powered Trn1 instances. Take for example operators such as TopK, LayerNorm, or ZeroCompression, which read data from memory and only use it for a minimal number of ALU calculations.

APIs 86

APIs Engineering Scripts Benchmark 86

AWS Machine Learning

NOVEMBER 19, 2024

Hear from customer speakers with real-world examples of how they’ve used data to support a variety of use cases, including generative AI, to create unique customer experiences. Explore examples to estimate the severity and likelihood of potential events that could be harmful.

APIs 89

APIs Enterprise Best practices Government 89

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. In the following example test plan, you have a claim with the ID claim-006 in your test system. Configure the target, which should be a type that Agent Evaluation supports.

APIs 130

APIs Engineering Best practices Virtual Agent 130

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

AWS Machine Learning

JULY 26, 2023

We have examples available for Stable Diffusion 2.1 This notebook presents an end-to-end example of how to compile a Stable Diffusion model, save the compiled Neuron models, and load it into the runtime for inference. The emb tensor is used as example input for the torch_neuronx.trace function. model on the GitHub repo.

Scripts 92

Scripts APIs Benchmark Engineering 92

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

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 120

APIs Metrics Benchmark Enterprise 120

AWS Machine Learning

DECEMBER 16, 2022

Finally, we’ll benchmark performance of 13B, 50B, and 100B parameter auto-regressive models and wrap up with future work. For training a different model type, you can follow the API document to learn about how to apply SMP APIs. You can find an example in the same training script train_gpt_simple.py. 50B parameter Bloom.

Benchmark 81

Benchmark Engineering APIs Scripts 81

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 116

Engineering APIs Benchmark Enterprise 116

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 79

Benchmark APIs Metrics Scripts 79

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 129

APIs Accountability Benchmark Government 129

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 124

Engineering Construction APIs Benchmark 124