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 90

Healthcare Government Engineering APIs 90

ChurnZero

NOVEMBER 5, 2021

For example, date formats. We also recommend creating an Account segment and a Contact segment to QA the fields that are most critical to the software’s performance. We recommend creating the below QA segments which include key fields that are commonly missed on the Account and Contact level.

Accountability 52

Accountability CRM APIs Benchmark 52

ChurnZero

NOVEMBER 5, 2021

For example, date formats. We also recommend creating an Account segment and a Contact segment to QA the fields that are most critical to the software’s performance. We recommend creating the below QA segments which include key fields that are commonly missed on the Account and Contact level. Start Date. Next Renewal Date.

Accountability 52

Accountability CRM APIs Benchmark 52

Lumoa

JULY 6, 2023

Now, it will also take into account any filters you have selected. Keyword suggestions is Lumoa’s way of helping you improve your Topics , as new feedback comes into your account. Lumoa GPT just got better A select few of you have already been chosen for Lumoa GPT Beta access. to get started! All you have to do, is hit yes!

APIs 16

APIs industry standards Surveys Benchmark 16

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

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. Before diving deep into this use case, please complete the following prerequisites: Set up an AWS account and create an IAM user. client('s3') bucket =.

Metrics 73

Metrics Telecommunications APIs Benchmark 73

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 91

Calibration Engineering Automotive Analytics 91

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 103

Benchmark Metrics Enterprise APIs 103

ChurnZero

MARCH 18, 2022

But I don’t want to disincentivize my best CSMs from taking the hardest accounts. For example, say we knew this $500k customer told us they’re not renewing. We can both contrive examples where it’d be OK. What’s up with you making less API calls this month? They got lucky. Is that fair, Dave?

SaaS 98

SaaS Metrics Enterprise Surveys 98

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 96

Benchmark APIs Enterprise Accountability 96

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 113

Best practices Benchmark Transportation Engineering 113

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 99

Healthcare Engineering APIs Benchmark 99

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 108

Benchmark Scripts APIs Feedback 108

AWS Machine Learning

MAY 7, 2024

Tasks such as routing support tickets, recognizing customers intents from a chatbot conversation session, extracting key entities from contracts, invoices, and other type of documents, as well as analyzing customer feedback are examples of long-standing needs. We also examine the uplift from fine-tuning an LLM for a specific extractive task.

Engineering 91

Engineering Technical Support Chatbots Best practices 91

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 76

Benchmark Metrics APIs Engineering 76

CSM Magazine

JANUARY 11, 2016

APIs can be hooked up and performance metrics and social data can be overlaid with CRM systems for traditional channels. Your plan needs longevity and should align with your strategic goals which will no doubt include some of these: improved customer loyalty, advocacy, account growth, retention or higher sales.

Customer Service 40

Customer Service Contact Center Accountability APIs 40

AWS Machine Learning

NOVEMBER 22, 2023

For example, during the project planning phase, you should invest in cloud financial management skills and tools, and align finance and tech teams to incorporate both business and technology perspectives. For example, development and test environments for your IDP solution are typically only used for 8 hours a day during the work week.

Finance 82

Finance Best practices APIs Accountability 82

AWS Machine Learning

APRIL 10, 2023

Better search results, image recognition for the visually impaired, creating novel designs from text, and intelligent chatbots are just some examples of how these models are facilitating various applications and tasks. For benchmark performance figures, refer to AWS Neuron Performance. The following code is a sample model.py

Engineering 72

Engineering APIs Benchmark Advertising 72

AWS Machine Learning

MARCH 14, 2024

By the end, you will have solid guidelines and a helpful flow chart for determining the best method to develop your own FM-powered applications, grounded in real-life examples. The following screenshot shows an example of a zero-shot prompt with the Anthropic Claude 2.1 In these instructions, we didn’t provide any examples.

Best practices 106

Best practices Engineering Chatbots Enterprise 106

AWS Machine Learning

MARCH 15, 2024

Policies and regulations like General Data Protection Regulation (GDPR), Health Insurance Portability and Accountability Act (HIPPA), and California Consumer Privacy Act (CCPA) put guardrails on sharing data from the medical domain, especially patient data. The following diagram illustrates an example architecture.

Healthcare 100

Healthcare Government Best practices Engineering 100

AWS Machine Learning

SEPTEMBER 21, 2023

Generative AI problem framing When framing your generative AI problem, consider the following: Align your use of generative AI with your sustainability goals – When scoping your project, be sure to take sustainability into account: What are the trade-offs between a generative AI solution and a less resource-intensive traditional approach?

Best practices 101

Best practices Engineering Metrics APIs 101

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 73

APIs Engineering Scripts Benchmark 73

Cincom

MAY 3, 2024

For example, a sales rep using Eloquence could instantly produce a detailed quote by having the automation tool pull the prospect’s information from the CRM system, the latest pricing data from an ERP or e-commerce platform, and discounts from a pricing database into a quote template. Related: Why Is Customer Communication Important?

Enterprise 40

Enterprise CRM APIs Customer retention 40

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 71

APIs Scripts Metrics Benchmark 71

AWS Machine Learning

MAY 31, 2023

For example, the Amazon SageMaker FAQ contains about 33 pages (printed) of content just on SageMaker. In 2018, BERT-large made its debut with its 340 million parameters and innovative transformer architecture, setting the benchmark for performance on NLP tasks. Note that this example uses an ml.p4d.24xlarge 24xlarge instance.

Scripts 69

Scripts Engineering Accountability APIs 69

AWS Machine Learning

NOVEMBER 22, 2023

SageMaker JumpStart is ideally suited for generative AI use cases for FinServ customers because it offers the following: Customization capabilities – SageMaker JumpStart provides example notebooks and detailed posts for step-by-step guidance on domain adaptation of foundation models. Lewis et al. An Amazon SageMaker Studio domain and user.

Engineering 94

Engineering Chatbots APIs Benchmark 94

AWS Machine Learning

NOVEMBER 30, 2023

Customers have to leave their development environment to use academic tools and benchmarking sites, which require highly-specialized knowledge. We surveyed existing open-source evaluation frameworks and designed FMEval evaluation API with extensibility in mind. Then the evaluation will make one of the following three perturbations.

Construction 89

Construction Metrics industry standards APIs 89

AWS Machine Learning

JUNE 24, 2022

The generated models are stored and benchmarked in the Amazon SageMaker model registry. The source code of the reference architecture is available in the examples provided by the SageMaker team on the Secure Data Science With Amazon SageMaker Studio Reference Architecture GitHub repo. The following figure illustrates this architecture.

Enterprise 91

Enterprise Engineering Accountability APIs 91

AWS Machine Learning

JANUARY 19, 2024

One example is an online retailer who deploys a large number of inference endpoints for text summarization, product catalog classification, and product feedback sentiment classification. We use the Recognizing Textual Entailment dataset from the GLUE benchmarking suite. Choose Request increase at account-level. Choose Request.

Metrics 98

Metrics Scripts Benchmark Enterprise 98

Netomi

SEPTEMBER 20, 2021

We’ll also cover the 5 best chatbot examples in the real world, but more on that later. Once you have an account, it’s as simple as CC x.ai CSML helps developers build and deploy chatbots easily with its expressive syntax and its capacity to connect to any third party API. on an email. Key features: . Meeting Scheduler.

Chatbots 126

Chatbots APIs Surveys Analytics 126

AWS Machine Learning

MAY 9, 2023

You can then use that text file when invoking the AWS Command Line Interface (AWS CLI) or the Application Auto Scaling API. The following code is an example of how to set this via the AWS CLI: aws application-autoscaling put-scheduled-action --service-namespace sagemaker --schedule 'cron(15 12 * * ?

Metrics 66

Metrics Best practices APIs Engineering 66

AWS Machine Learning

SEPTEMBER 13, 2022

For example, real-time inference is suitable for persistent workloads with millisecond latency requirements, payload sizes up to 6 MB, and processing times of up to 60 seconds. Your model can then be consumed by client applications through a real-time invoke API request.

Engineering 71

Engineering APIs Benchmark Management 71

AWS Machine Learning

JUNE 9, 2023

In this post, we use the same ResNet50 model in ONNX format along with an additional natural language processing (NLP) example model in ONNX format to show how it can be deployed on Triton. An example of a complete model configuration file is provided in the ONNX configuration section of the following notebook. Configure the model.

Benchmark 89

Benchmark Engineering Enterprise APIs 89

AWS Machine Learning

JUNE 9, 2023

With GraphStorm, you can build solutions that directly take into account the structure of relationships or interactions between billions of entities, which are inherently embedded in most real-world data, including fraud detection scenarios, recommendations, community detection, and search/retrieval problems. license on GitHub.

Enterprise 87

Enterprise Construction Engineering Metrics 87

ChurnZero

NOVEMBER 20, 2020

For example,] here are my 30 accounts; did any of them show up this weekend on G2 to compare my product with a competitor? . If we’re looking to roll out to an entire team, then we look to more of those API pushes and how we connect one tool to another. . The easiest and fastest way is just an email alert.

Finance 98

Finance Feedback Sales Accountability 98

AWS Machine Learning

JUNE 6, 2023

The following figure shows a performance benchmark of fine-tuning a RoBERTa model on Amazon EC2 p4d.24xlarge inference with AWS Graviton processors for details on AWS Graviton-based instance inference performance benchmarks for PyTorch 2.0. In this example, we host a single model. 24xlarge with AWS PyTorch 2.0 DLAMI + DLC.

Scripts 69

Scripts APIs Benchmark Management 69

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 77

Benchmark Metrics APIs Scripts 77