AWS Machine Learning

SEPTEMBER 19, 2023

The following screenshot shows an example of the UI. The steps involved are as follows: The financial analyst poses questions via a platform such as chatbots. Large language models – The large language models (LLMs) are available via Amazon Bedrock, SageMaker JumpStart, or an API.

Marketing 103

Marketing APIs Engineering Analytics 103

AWS Machine Learning

AUGUST 2, 2023

As an example, a GenAI model can be used to generate a textual description for the following image as “a dog laying on the ground under an umbrella” during document ingestion of the image. We demonstrate CDE using simple examples and provide a step-by-step guide for you to experience CDE in an Amazon Kendra index in your own AWS account.

Enterprise 71

Enterprise Healthcare APIs Big data 71

AWS Machine Learning

FEBRUARY 14, 2024

Amazon Bedrock offers a choice of high-performing foundation models from leading AI companies, including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon, via a single API. For example, a user may enter an incomplete problem statement like, “Where to purchase a shirt.”

Engineering 117

Engineering Chatbots Accountability Enterprise 117

AWS Machine Learning

JANUARY 26, 2024

Lastly, we connect these together with an example LLM workload to describe an approach towards architecting with defense-in-depth security across trust boundaries. We then discuss how building on a secure foundation is essential for generative AI.

Best practices 124

Best practices Government Engineering Accountability 124

AWS Machine Learning

SEPTEMBER 1, 2023

Main use cases are around human-like chatbots, summarization, or other content creation such as programming code. Example use cases are clothing design generation or imaginary personalized images. Example use cases are clothing design generation or imaginary personalized images. 15K available FM reference Step 1.

Engineering 104

Engineering Accountability Construction APIs 104

OctopusTech

SEPTEMBER 29, 2022

For example – If you want to make or receive a phone call by using your customer care software, then ensure that it provides blended call center services too. For example – Getting information about your internal systems that inform customer service decision. Integration with systems. Automatic call routing.

Customer Service 62

Customer Service CRM Self service Analytics 62

NobelBiz

JUNE 26, 2023

Aging Infrastructure in Call Centers: Real-World Examples Example 1: Outdated Dialer Systems One of the most common examples of aging infrastructure in call centers is outdated dialer systems. Example 3: Obsolete Customer Relationship Management (CRM) Tools CRM tools are vital for managing customer interactions and data.

Call Center 52

Call Center Interactive Voice Response call center software CRM 52

AWS Machine Learning

SEPTEMBER 14, 2023

This means that controlling access to the chatbot is crucial to prevent unintended access to sensitive information. Amazon API Gateway hosts a REST API with various endpoints to handle user requests that are authenticated using Amazon Cognito. The web application front-end is hosted on AWS Amplify.

APIs 95

APIs Healthcare Scripts Engineering 95

AWS Machine Learning

JUNE 29, 2022

This has led to an exponential growth in the amount of online conversation data, which has helped in the development of state-of-the-art natural language processing (NLP) systems like chatbots and natural language generation (NLG) models. To generate binary labels (for example, toxic or non-toxic), a threshold of 0.5 About the Authors.

Metrics 73

Metrics Telecommunications APIs Benchmark 73

AWS Machine Learning

FEBRUARY 6, 2024

Conversational AI (or chatbots) can help triage some of these common IT problems and create a ticket for the tasks when human assistance is needed. Chatbots quickly resolve common business issues, improve employee experiences, and free up agents’ time to handle more complex problems.

Chatbots 105

Chatbots APIs Self service Banking 105

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. Whether creating a chatbot or summarization tool, you can shape powerful FMs to suit your needs. In these instructions, we didn’t provide any examples.

Best practices 106

Best practices Engineering Chatbots Enterprise 106

SmartKarrot

MAY 11, 2023

It encompasses the development and application of conversational agents, chatbots, and virtual assistants that can understand human language, respond appropriately, and even simulate human-like conversations. For example, if the user asks for the latest news headlines, the platform may connect to a news API to gather relevant information.

Real estate 10

Real estate Chatbots APIs Analytics 10

AWS Machine Learning

MAY 3, 2023

With Amazon Bedrock , you will be able to choose Amazon Titan , Amazon’s own LLM, or partner LLMs such as those from AI21 Labs and Anthropic with APIs securely without the need for your data to leave the AWS ecosystem. Kendra ChatBot provides answers along with source links and has the capability to summarize longer answers.

Enterprise 68

Enterprise APIs Chatbots Government 68

AWS Machine Learning

MARCH 28, 2024

medium instance to demonstrate deploying LLMs via SageMaker JumpStart, which can be accessed through a SageMaker-generated API endpoint. You can request service quota increases through the console, AWS Command Line Interface (AWS CLI), or API to allow access to those additional resources. We use an ml.t3.medium

Telecommunications 113

Telecommunications Healthcare Transportation Accountability 113

SmartKarrot

JANUARY 20, 2022

These fast-growing SaaS companies are developing technology to alter how the business, energy, healthcare, and transportation sectors operate. It uses tools such as targeted communications, retargeting tools, parity monitoring, and AI chatbots to keep track of OTA undercutting. Let us dive deep into the list –. TransferWise.

SaaS 10

SaaS Advertising B2B Transportation 10

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. Then the payload is passed to the SageMaker endpoint invoke API via the BotoClient to simulate real user requests.

Metrics 98

Metrics Scripts Benchmark Enterprise 98

AWS Machine Learning

NOVEMBER 30, 2023

Clariant is empowering its team members with an internal generative AI chatbot to accelerate R&D processes, support sales teams with meeting preparation, and automate customer emails. With Amazon Bedrock, customers are only ever one API call away from a new model. Then you point to a few labeled examples (e.g.,

APIs 126

APIs Enterprise Best practices Technology 126

AWS Machine Learning

NOVEMBER 1, 2023

The TGI framework underpins the model inference layer, providing RESTful APIs for robust integration and effortless accessibility. Supplementing our auditory data processing, the Whisper ASR is also furnished with a RESTful API, enabling streamlined voice-to-text conversions.

APIs 93

APIs Engineering Construction Scripts 93

AWS Machine Learning

JANUARY 9, 2023

Use cases such as fraud detection, product recommendations, and traffic prediction are examples where milliseconds matter and are critical for business success. For example, an image classification use case may use three different models to perform the task.

Metrics 74

Metrics Best practices Engineering Management 74