AWS Machine Learning

OCTOBER 2, 2024

Personalization can improve the user experience of shopping, entertainment, and news sites by using our past behavior to recommend the products and content that best match our interests. If the Amazon Q Business application is configured with IAM Identity Center, the AssumeRole API is called passing the IAM Identity Center token.

Personalization 113

Personalization APIs Enterprise Entertainment 113

AWS Machine Learning

NOVEMBER 30, 2023

Let me know some of your feedback in the comments below. About the Authors Mark Watkins is a Solutions Architect within the Media and Entertainment team, supporting his customers solve many data and ML problems. Amazon Titan has recently added a new embedding model to its collection, Titan Multimodal Embeddings.

Scripts 114

Scripts APIs Entertainment Accountability 114

AWS Machine Learning

JUNE 21, 2023

As part of our effort to meet the needs of your agents, we strive to add features based on your feedback and our own experience helping contact center operators. Under Available OAuth Scopes , choose Manage user data via APIs (api). Under API (Enable OAuth Settings) , choose Manage Consumer Details. Choose Save.

Analytics 86

Analytics APIs CRM Contact Center 86

AWS Machine Learning

FEBRUARY 6, 2024

Solution overview QnABot on AWS is a multi-channel, multi-language chatbot that responds to your customer’s questions, answers, and feedback. The workflow includes the following steps: A QnABot administrator can configure the questions using the Content Designer UI delivered by Amazon API Gateway and Amazon Simple Storage Service (Amazon S3).

Chatbots 124

Chatbots APIs Self service Banking 124

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 94

Best practices APIs Metrics Accountability 94

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.

Chatbots 109

Chatbots Feedback Engineering Entertainment 109

AWS Machine Learning

AUGUST 21, 2024

AWS HealthScribe is a fully managed API-based service that generates preliminary clinical notes offline after the patient’s visit, intended for application developers. In the future, we expect LMA for healthcare to use the AWS HealthScribe API in addition to other AWS services. We value your feedback.

Healthcare 106

Healthcare Consulting Consulting APIs 106

AWS Machine Learning

SEPTEMBER 9, 2022

When the message is received by the SQS queue, it triggers the AWS Lambda function to make an API call to the Amp catalog service. Lambda enabled the team to create lightweight functions to run API calls and perform data transformations. If you have feedback about this post, submit it in the comments section. Conclusion.

Analytics 80

Analytics Engineering Metrics APIs 80

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 130

Telecommunications Transportation Healthcare Accountability 130

AWS Machine Learning

SEPTEMBER 1, 2023

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. Some models may be trained on diverse text datasets like internet data, coding scripts, instructions, or human feedback. 15K available FM reference Step 1.

Engineering 122

Engineering Accountability Construction APIs 122

JivoChat

APRIL 23, 2023

In 1988, Jabberwacky was built by the developer Rollo Carpenter to simulate human conversation for entertainment purposes. Improve Based on the Chatbot Feedback Use the data collected by the chatbots to enhance the software itself. Or you can connect to another platform via our API. JivoChat Partners: Dahi.ai Chatme Plantt.

Chatbots 75

Chatbots B2C Self service B2B 75

C Space

MAY 18, 2020

Demand for home grocery deliveries has never been higher and we have been receiving great feedback for Chop Chop, with customers really valuing the speed and convenience it brings.” It also allows use of turnkey integrations and APIs to include e-signature workflows in enterprise apps and systems of record.

Transportation 52

Transportation Sales Entertainment APIs 52

JivoChat

JUNE 15, 2021

You can also collect actionable feedback with post-purchase surveys and display reviews from the best review platforms. Customize subscriptions with ReCharge’s powerful APIs. Used for: Engaging and entertaining customers. Pricing | Install on your Shopify store : $7.99-$29.99/monthly, monthly, with a free version available.

Upselling 52

Upselling Analytics Sales Marketing 52

AWS Machine Learning

AUGUST 1, 2022

In this post, we demonstrate how to add features to a feature group using the newly released UpdateFeatureGroup API. To update the feature group to add a new feature, we use the new Amazon SageMaker UpdateFeatureGroup API. We ingest the DataFrame into the feature group using the SageMaker SDK FeatureGroup.ingest API.

APIs 95

APIs Engineering Entertainment Healthcare 95

AWS Machine Learning

JANUARY 26, 2024

Consider inserting AWS Web Application Firewall (AWS WAF) in front to protect web applications and APIs from malicious bots , SQL injection attacks, cross-site scripting (XSS), and account takeovers with Fraud Control. Use package mirrors, scanning, and additional inspections as relevant to your organizations security goals.

Best practices 137

Best practices Government Engineering Accountability 137

AWS Machine Learning

NOVEMBER 30, 2023

With Amazon Bedrock, customers are only ever one API call away from a new model. With Titan Image Generator, customers across industries like advertising, e-commerce, and media and entertainment can use a text input to generate realistic, studio-quality images in large volumes and at low cost.

APIs 138

APIs Enterprise Best practices Technology 138

AWS Machine Learning

NOVEMBER 1, 2023

Their use cases span various domains, from media entertainment to medical diagnostics and quality assurance in manufacturing. The TGI framework underpins the model inference layer, providing RESTful APIs for robust integration and effortless accessibility.

APIs 112

APIs Engineering Construction Scripts 112

AWS Machine Learning

APRIL 13, 2023

Alexa, powered by more than 30 different ML systems, helps customers billions of times each week to manage smart homes, shop, get information and entertainment, and more. We have thousands of engineers at Amazon committed to ML, and it’s a big part of our heritage, current ethos, and future.

APIs 145

APIs Best practices Engineering Entertainment 145

AWS Machine Learning

NOVEMBER 7, 2024

To stay competitive, media, advertising, and entertainment enterprises need to stay abreast of recent dramatic technological developments. Character design Character design is a crucial aspect of storytelling in media and entertainment. Stable Image Ultra 1.0 Parameters 2.6

Advertising 118

Advertising Entertainment Marketing APIs 118

AWS Machine Learning

MARCH 20, 2025

The benefits of using Amazon Bedrock Data Automation Amazon Bedrock Data Automation provides a single, unified API that automates the processing of unstructured multi-modal content, minimizing the complexity of orchestrating multiple models, fine-tuning prompts, and stitching outputs together.

APIs 106

APIs Analytics Advertising Enterprise 106

AWS Machine Learning

NOVEMBER 25, 2024

Continuous learning loop – The team is working on implementing a feedback mechanism where successful translations are automatically added to the vector database, creating a virtuous cycle of continuous improvement. He has helped companies in insurance, financial services, media and entertainment, healthcare, utilities, and manufacturing.

Engineering 93

Engineering Entertainment Marketing APIs 93