Inbenta

APRIL 29, 2020

This short timeframe is made possible by: An API with a multitude of proven functionalities; A proprietary and patented NLP technology developed and perfected over the course of 15 years by our in-house Engineers and Linguists; A well-established development process. Project instances that change along the way. A slow testing phase.

Chatbots 140

Chatbots APIs Construction Best practices 140

AWS Machine Learning

JUNE 15, 2023

We demonstrate how to use the AWS Management Console and Amazon Translate public API to deliver automatic machine batch translation, and analyze the translations between two language pairs: English and Chinese, and English and Spanish. In this post, we present a solution that D2L.ai

APIs 74

APIs Benchmark Best practices Engineering 74

AWS Machine Learning

OCTOBER 18, 2023

The solution uses the following services: Amazon API Gateway is a fully managed service that makes it easy for developers to publish, maintain, monitor, and secure APIs at any scale. Purina’s solution is deployed as an API Gateway HTTP endpoint, which routes the requests to obtain pet attributes.

APIs 95

APIs Metrics Consulting Consulting 95

AWS Machine Learning

APRIL 24, 2023

In this post, we explore how AWS customer Pro360 used the Amazon Comprehend custom classification API , which enables you to easily build custom text classification models using your business-specific labels without requiring you to learn machine learning (ML), to improve customer experience and reduce operational costs.

APIs 62

APIs Customer Experience Feedback Chatbots 62

AWS Machine Learning

NOVEMBER 22, 2023

The AWS Well-Architected Framework provides a systematic way for organizations to learn operational and architectural best practices for designing and operating reliable, secure, efficient, cost-effective, and sustainable workloads in the cloud. This helps you avoid throttling limits on API calls due to polling the Get* APIs.

APIs 94

APIs Metrics Enterprise Benchmark 94

AWS Machine Learning

SEPTEMBER 1, 2023

These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.

Engineering 104

Engineering Accountability Construction APIs 104

AWS Machine Learning

NOVEMBER 16, 2023

With SageMaker MLOps tools, teams can easily train, test, troubleshoot, deploy, and govern ML models at scale to boost productivity of data scientists and ML engineers while maintaining model performance in production. When the model is ready and approved for use, it’s deployed into the real-world production systems.

Healthcare 90

Healthcare Government Engineering APIs 90

AWS Machine Learning

SEPTEMBER 9, 2022

Amp wanted a scalable data and analytics platform to enable easy access to data and perform machine leaning (ML) experiments for live audio transcription, content moderation, feature engineering, and a personal show recommendation service, and to inspect or measure business KPIs and metrics. This post is the first in a two-part series.

Analytics 69

Analytics Engineering APIs Metrics 69

AWS Machine Learning

MARCH 13, 2023

Extreme point clicking with a flexible number of corrective clicks We now have enhanced the tool to allow extra clicks of boundary points, which provides real-time feedback to the ML model. Importantly, this tool operates in a mode that allows for real-time feedback—it doesn’t require you to specify all points at once.

Metrics 68

Metrics APIs Feedback Engineering 68

Inbenta

JUNE 21, 2022

And about half of all product searches are initiated through this search engine. Opting for an SEO strategy is not just about meeting the demands of search engines. Voice search allows users to make spoken requests or queries instead of typing them into search engines. Best practices for SEO Knowledge Management.

Engineering 52

Engineering APIs Best practices Management 52

AWS Machine Learning

OCTOBER 5, 2022

Each year, bad actors compromise billions of accounts through stolen credentials, phishing, social engineering, and multiple forms of ATO. For a real-time prediction, you call the GetEventPrediction API after a user presents valid login credentials to quantify the risk of ATO. billion in 2021 compared with 2020. Choose Next.

Accountability 70

Accountability APIs Metrics Engineering 70

AWS Machine Learning

APRIL 29, 2024

This often means the method of using a third-party LLM API won’t do for security, control, and scale reasons. It provides an approachable, robust Python API for the full infrastructure stack of ML/AI, from data and compute to workflows and observability. The following figure illustrates this workflow.

APIs 100

APIs Engineering Scripts Management 100

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

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. Throughout this lifecycle, implementing AWS Well-Architected Framework best practices is recommended.

Best practices 113

Best practices Benchmark Transportation Engineering 113

Amity

SEPTEMBER 25, 2017

Customer Operations means everything from Customer Success to Customer Support, Engineering Support, and Professional Services. In parallel, we created an API Support team, and we launched Customer Success about 1 year and a half ago. As you move upmarket, what holds true today won’t hold true tomorrow.

B2C 0

B2C SaaS Accountability B2B 0

AWS Machine Learning

SEPTEMBER 28, 2023

A Generative AI Gateway can help large enterprises control, standardize, and govern FM consumption from services such as Amazon Bedrock , Amazon SageMaker JumpStart , third-party model providers (such as Anthropic and their APIs), and other model providers outside of the AWS ecosystem. What is a Generative AI Gateway?

APIs 97

APIs Government Enterprise Engineering 97

Amity

SEPTEMBER 25, 2017

Customer Operations means everything from Customer Success to Customer Support, Engineering Support, and Professional Services. In parallel, we created an API Support team, and we launched Customer Success about 1 year and a half ago. As you move upmarket, what holds true today won’t hold true tomorrow.

B2C 60

B2C SaaS Accountability B2B 60

AWS Machine Learning

MAY 7, 2024

You can view the results and provide feedback by voting for the winning setting. Amazon Transcribe The transcription for the entire video is generated using the StartTranscriptionJob API. The solution runs Amazon Rekognition APIs for label detection , text detection, celebrity detection , and face detection on videos.

APIs 89

APIs Advertising Entertainment Metrics 89

AWS Machine Learning

MAY 14, 2024

An important aspect of developing effective generative AI application is Reinforcement Learning from Human Feedback (RLHF). RLHF is a technique that combines rewards and comparisons, with human feedback to pre-train or fine-tune a machine learning (ML) model. Therefore, you can use either or both based on your needs.

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55

AWS Machine Learning

OCTOBER 2, 2023

Use case: Inspecting the quality of metal tags As an ML engineer, it’s important to understand the business case you are working on. MLOps engineers want to work using infrastructure as code (IaC) tools and might be more familiar with the AWS Management Console. Most significantly, we have established a closed feedback loop.

Engineering 92

Engineering APIs Management Accountability 92

SmartKarrot

MAY 31, 2021

Function as the voice of the customer and provide internal feedback on how Daasity can better serve the customers. Support API customization projects, as well as embedded integrations projects. Evangelize best practices of product usage and perform training to achieve a high degree of customer satisfaction.

Upselling 10

Upselling APIs Accountability Engineering 10

AWS Machine Learning

DECEMBER 13, 2023

Each NeuronCore-v2 is an independent, heterogenous compute-unit, with four main engines: Tensor, Vector, Scalar, and GPSIMD engines. Engine to use: MXNet, PyTorch, TensorFlow, ONNX, PaddlePaddle, DeepSpeed, etc. Engine to use: MXNet, PyTorch, TensorFlow, ONNX, PaddlePaddle, DeepSpeed, etc.

Engineering 113

Engineering APIs Best practices Accountability 113

SmartKarrot

DECEMBER 28, 2020

Coordinate, as needed, with Product Management, Engineering, Sales, Sales Engineering, Professional Services. Gather intelligent product feedback and recommendations from customers to design and inform new features and capabilities. Coach users to be experts on the terminal, Excel add-in, API, and data integration.

Engineering 10

Engineering APIs Upselling Coaching 10

AWS Machine Learning

JANUARY 24, 2024

Building proofs of concept is relatively straightforward because cutting-edge foundation models are available from specialized providers through a simple API call. Cohere language models in Amazon Bedrock The Cohere Platform brings language models with state-of-the-art performance to enterprises and developers through a simple API call.

Enterprise 127

Enterprise APIs Advertising Technology 127

AWS Machine Learning

OCTOBER 16, 2023

They provide advanced technology that combines AI-powered automation with human feedback, deep insights, and expertise. These APIs required production-grade code, which made it challenging for data scientists to productionize models. The secondary objective was to reduce the operational costs of provisioning GPU instances.

APIs 85

APIs Best practices Engineering Metrics 85

AWS Machine Learning

MAY 8, 2023

To serve models, Triton supports various backends as engines to support the running and serving of various ML models for inference. With kernel auto-tuning, the engine selects the best algorithm for the target GPU, maximizing hardware utilization. Import the ONNX model into TensorRT and generate the TensorRT engine.

Engineering 83

Engineering APIs Best practices Scripts 83

AWS Machine Learning

MAY 9, 2023

In this post, we discuss what provisioned concurrency and Application Auto Scaling are, how to use them, and some best practices and guidance for your inference workloads. You can then use that text file when invoking the AWS Command Line Interface (AWS CLI) or the Application Auto Scaling API.

Metrics 66

Metrics Best practices APIs Engineering 66

NobelBiz

APRIL 9, 2024

In this comprehensive article, we delve into the details of call center compliance , exploring its significance, the laws and regulations governing it, common mistakes to avoid, and best practices for ensuring adherence. Table of Contents What is Call Center Compliance and Why is it Important?

Call Center 104

Call Center Telemarketing Healthcare Government 104

AWS Machine Learning

MARCH 28, 2024

A number of techniques are typically used to improve the accuracy and performance of an LLM’s output, such as fine-tuning with parameter efficient fine-tuning (PEFT) , reinforcement learning from human feedback (RLHF) , and performing knowledge distillation. We use an ml.t3.medium

Telecommunications 113

Telecommunications Healthcare Transportation Accountability 113

AWS Machine Learning

AUGUST 10, 2023

As recommended by AWS as a best practice , customers have used separate accounts to simplify policy management for users and isolate resources by workloads and account. Please try out the solution and send us the feedback, either in the AWS forum for Amazon SageMaker , or through your usual AWS contacts.

Scripts 78

Scripts Accountability Metrics APIs 78

AWS Machine Learning

DECEMBER 22, 2023

Amazon Bedrock is a fully managed service that makes leading FMs from AI companies available through an API along with developer tooling to help build and scale generative AI applications. The primary objective of prompt engineering is to elicit specific and accurate responses from the FM. The agent uses Anthropic Claude 2.1

Scripts 99

Scripts Chatbots Accountability Multi-channel support 99

AWS Machine Learning

AUGUST 31, 2023

In addition to data engineers and data scientists, there have been inclusions of operational processes to automate & streamline the ML lifecycle. We encourage you try out the new model card sharing feature and let us know your feedback. They provide a fact sheet of the model that is important for model governance.

Government 92

Government Accountability Enterprise Engineering 92

AWS Machine Learning

MAY 12, 2023

These AI-powered extensions help accelerate ML development by offering code suggestions as you type, and ensure that your code is secure and follows AWS best practices. Please share any feedback in the comments! Arkaprava De is a Senior Software Engineer at AWS. You can find him on LinkedIn.

Best practices 80

Best practices APIs Banking Engineering 80

Xaqt

JUNE 22, 2020

Most cloud based Contact Center providers provide documented APIs to access your data, while with many legacy contact center vendors, it's still a challenge to get your data out of their reporting tools or platforms. It often requires additional licensing, or developing a custom application against their APIs to extract the data.

Call Center 52

Call Center Contact Center Analytics Engineering 52

AWS Machine Learning

MAY 9, 2023

Triton supports various backends as engines to support the running and serving of various ML models for inference. Inference requests arrive at the server via either HTTP/REST or by the C API and are then routed to the appropriate per-model scheduler. The following diagram illustrates the NVIDIA Triton Inference Server architecture.

APIs 82

APIs Scripts Best practices Enterprise 82

AWS Machine Learning

JUNE 6, 2023

This table name can be found by referencing the table_name field after instantiating the athena_query from the FeatureGroup API: SELECT * FROM "sagemaker_featurestore"."off_sdk_fg_lead_1682348629" For more information about feature groups, refer to Create a Dataset From Your Feature Groups and Feature Store APIs: Feature Group.

APIs 78

APIs Metrics Telecommunications Marketing 78

AWS Machine Learning

AUGUST 31, 2023

In addition to data engineers and data scientists, there have been inclusions of operational processes to automate & streamline the ML lifecycle. We encourage you try out the new model card sharing feature and let us know your feedback. They provide a fact sheet of the model that is important for model governance.

Government 52

Government Accountability Enterprise Engineering 52