AWS Machine Learning

DECEMBER 11, 2024

This enables sales teams to interact with our internal sales enablement collateral, including sales plays and first-call decks, as well as customer references, customer- and field-facing incentive programs, and content on the AWS website, including blog posts and service documentation.

Sales 104

Sales Accountability APIs CRM 104

AWS Machine Learning

OCTOBER 29, 2024

To enable the video insights solution, the architecture uses a combination of AWS services, including the following: Amazon API Gateway is a fully managed service that makes it straightforward for developers to create, publish, maintain, monitor, and secure APIs at scale.

Engineering 110

Engineering APIs Sales Enterprise 110

AWS Machine Learning

FEBRUARY 19, 2024

Modern chatbots can serve as digital agents, providing a new avenue for delivering 24/7 customer service and support across many industries. Chatbots also offer valuable data-driven insights into customer behavior while scaling effortlessly as the user base grows; therefore, they present a cost-effective solution for engaging customers.

Chatbots 127

Chatbots APIs Engineering Enterprise 127

AWS Machine Learning

MAY 30, 2024

To serve their customers, Vitech maintains a repository of information that includes product documentation (user guides, standard operating procedures, runbooks), which is currently scattered across multiple internal platforms (for example, Confluence sites and SharePoint folders).

Chatbots 130

Chatbots Engineering APIs Technology 130

AWS Machine Learning

OCTOBER 24, 2024

Since the inception of AWS GenAIIC in May 2023, we have witnessed high customer demand for chatbots that can extract information and generate insights from massive and often heterogeneous knowledge bases. Document ingestion In a RAG architecture, documents are often stored in a vector store.

Chatbots 90

Chatbots Metrics Scripts APIs 90

AWS Machine Learning

MARCH 6, 2025

Amazon Bedrock is a fully managed service that offers a choice of high-performing Foundation Models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

Metrics 114

Metrics Enterprise APIs Engineering 114

AWS Machine Learning

APRIL 26, 2024

Today, we’re introducing the new capability to chat with your document with zero setup in Knowledge Bases for Amazon Bedrock. With this new capability, you can securely ask questions on single documents, without the overhead of setting up a vector database or ingesting data, making it effortless for businesses to use their enterprise data.

APIs 126

APIs Enterprise Chatbots Engineering 126

AWS Machine Learning

AUGUST 9, 2024

Question and answering (Q&A) using documents is a commonly used application in various use cases like customer support chatbots, legal research assistants, and healthcare advisors. This includes a one-time processing of PDF documents. The steps are as follows: The user uploads documents to the application.

Government 129

Government Healthcare Construction Engineering 129

AWS Machine Learning

AUGUST 15, 2024

In this post, we discuss how to use QnABot on AWS to deploy a fully functional chatbot integrated with other AWS services, and delight your customers with human agent like conversational experiences. After authentication, Amazon API Gateway and Amazon S3 deliver the contents of the Content Designer UI.

Chatbots 126

Chatbots Banking APIs Enterprise 126

AWS Machine Learning

DECEMBER 6, 2023

Such data often lacks the specialized knowledge contained in internal documents available in modern businesses, which is typically needed to get accurate answers in domains such as pharmaceutical research, financial investigation, and customer support. For example, imagine that you are planning next year’s strategy of an investment company.

Analytics 126

Analytics APIs Engineering Construction 126

AWS Machine Learning

NOVEMBER 15, 2024

This centralized system consolidates a wide range of data sources, including detailed reports, FAQs, and technical documents. The system integrates structured data, such as tables containing product properties and specifications, with unstructured text documents that provide in-depth product descriptions and usage guidelines.

APIs 117

APIs Engineering Chatbots Construction 117

AWS Machine Learning

NOVEMBER 19, 2024

Its agent for software development can solve complex tasks that go beyond code suggestions, such as building entire application features, refactoring code, or generating documentation. Attendees will learn practical applications of generative AI for streamlining and automating document-centric workflows. Hear from Availity on how 1.5

APIs 101

APIs Enterprise Best practices Government 101

AWS Machine Learning

APRIL 10, 2025

On the Configure data source page, provide the following information: Specify the Amazon S3 location of the documents. Fine-tune an Amazon Nova model using the Amazon Bedrock API In this section, we provide detailed walkthroughs on fine-tuning and hosting customized Amazon Nova models using Amazon Bedrock. Specify a chunking strategy.

APIs 120

APIs Metrics Best practices Construction 120

AWS Machine Learning

AUGUST 7, 2024

AI chatbots and virtual assistants have become increasingly popular in recent years thanks the breakthroughs of large language models (LLMs). Most common use cases for chatbot assistants focus on a few key areas, including enhancing customer experiences, boosting employee productivity and creativity, or optimizing business processes.

APIs 133

APIs Chatbots Metrics Education 133

AWS Machine Learning

NOVEMBER 14, 2024

Customers can use the SageMaker Studio UI or APIs to specify the SageMaker Model Registry model to be shared and grant access to specific AWS accounts or to everyone in the organization. We will start by using the SageMaker Studio UI and then by using APIs. These stages are applicable to both use case and model stages.

Government 101

Government Management APIs Accountability 101

AWS Machine Learning

MARCH 1, 2024

Some examples include a customer calling to check on the status of an order and receiving an update from a bot, or a customer needing to submit a renewal for a license and the chatbot collecting the necessary information, which it hands over to an agent for processing.

Chatbots 125

Chatbots APIs Self service Contact Center 125

AWS Machine Learning

FEBRUARY 14, 2023

It indexes the documents stored in a wide range of repositories and finds the most relevant document based on the keywords or natural language questions the user has searched for. Additional refinement is needed to find the documents specific to that user or user group as the top search result.

Chatbots 98

Chatbots APIs Construction Education 98

AWS Machine Learning

FEBRUARY 5, 2025

For a retail chatbot like AnyCompany Pet Supplies AI assistant, guardrails help make sure that the AI collects the information needed to serve the customer, provides accurate product information, maintains a consistent brand voice, and integrates with the surrounding services supporting to perform actions on behalf of the user. The Llama 3.1

Chatbots 103

Chatbots Construction Best practices APIs 103

Inbenta

AUGUST 17, 2021

Contents: What is voice search and what are voice chatbots? Text-to-speech and speech-to-text chatbots: how do they work? How to build a voice chatbot: integrations powered by Inbenta. Why launch a voice-based chatbot project: adding more value to your business. What is voice search and what are voice chatbots?

Chatbots 94

Chatbots Interactive Voice Response Customer Service APIs 94

AWS Machine Learning

NOVEMBER 22, 2023

In this post, we explore building a contextual chatbot for financial services organizations using a RAG architecture with the Llama 2 foundation model and the Hugging Face GPTJ-6B-FP16 embeddings model, both available in SageMaker JumpStart. Their training on predominantly generalized data diminishes their efficacy in domain-specific tasks.

Engineering 123

Engineering Chatbots Benchmark APIs 123

AWS Machine Learning

FEBRUARY 18, 2025

During these live events, F1 IT engineers must triage critical issues across its services, such as network degradation to one of its APIs. This impacts downstream services that consume data from the API, including products such as F1 TV, which offer live and on-demand coverage of every race as well as real-time telemetry.

APIs 70

APIs Engineering Metrics Big data 70

AWS Machine Learning

SEPTEMBER 26, 2024

This domain knowledge is traditionally captured in reference manuals, service bulletins, quality ticketing systems, engineering drawings, and more, but the quantity and complexity of documents is growing and takes time to learn. How can I trace the reasoning of my model back to source documents to build user trust?” “How

APIs 113

APIs Chatbots Engineering Accountability 113

AWS Machine Learning

JUNE 12, 2023

OpenChatKit is an open-source LLM used to build general-purpose and specialized chatbot applications, released by Together Computer in March 2023 under the Apache-2.0 This model allows developers to have more control over the chatbot’s behavior and tailor it to their specific applications.

Chatbots 97

Chatbots APIs Engineering Enterprise 97

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. First, the user logs in to the chatbot application, which is hosted behind an Application Load Balancer and authenticated using Amazon Cognito.

Engineering 139

Engineering Chatbots Accountability Enterprise 139

AWS Machine Learning

JANUARY 31, 2024

In this post, we show you how to securely create a movie chatbot by implementing RAG with your own data using Knowledge Bases for Amazon Bedrock. Knowledge bases enable you to chunk your documents in smaller segments to make it straightforward for you to process large documents. Create a knowledge base. Choose Next.

Chatbots 120

Chatbots Entertainment APIs Advertising 120

AWS Machine Learning

MAY 16, 2023

This demonstration provides an open-source foundation model chatbot for use within your application. GPT-NeoXT-Chat-Base-20B is designed for use in chatbot applications and may not perform well for other use cases outside of its intended scope. In addition to the aforementioned fine-tuning, GPT-NeoXT-Chat-Base-20B-v0.16

Chatbots 98

Chatbots Scripts APIs Feedback 98

AWS Machine Learning

MARCH 1, 2024

It enables searching over both the content of documents and their underlying meaning. For example, if you have want to build a chatbot for an ecommerce website to handle customer queries such as the return policy or details of the product, using hybrid search will be most suitable.

APIs 136

APIs Finance Chatbots Enterprise 136

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 132

Chatbots APIs Self service Banking 132

AWS Machine Learning

AUGUST 2, 2024

The Product Stewardship department is responsible for managing a large collection of regulatory compliance documents. Example questions might be “What are the restrictions for CMR substances?”, “How long do I need to keep the documents related to a toluene sale?”, or “What is the reach characterization ratio and how do I calculate it?”

APIs 122

APIs Analytics Chatbots Engineering 122

AWS Machine Learning

NOVEMBER 10, 2023

LLMs are capable of a variety of tasks, such as generating creative content, answering inquiries via chatbots, generating code, and more. Amazon Comprehend is a natural language processing (NLP) service that uses machine learning (ML) to uncover information in unstructured data and text within documents.

APIs 125

APIs Chatbots Analytics Personalization 125

AWS Machine Learning

OCTOBER 1, 2024

Specifically, we focus on chatbots. Chatbots are no longer a niche technology. Although AI chatbots have been around for years, recent advances of large language models (LLMs) like generative AI have enabled more natural conversations. We also provide a sample chatbot application. We discuss this later in the post.

Chatbots 89

Chatbots APIs Scripts Management 89

AWS Machine Learning

JULY 10, 2024

You can use the Prompt Management and Flows features graphically on the Amazon Bedrock console or Amazon Bedrock Studio, or programmatically through the Amazon Bedrock SDK APIs. Alternatively, you can use the CreateFlow API for a programmatic creation of flows that help you automate processes and development pipelines.

Management 131

Management APIs Chatbots Best practices 131

AWS Machine Learning

SEPTEMBER 17, 2024

This enables a RAG scenario with Amazon Bedrock by enriching the generative AI prompt using Amazon Bedrock APIs with your company-specific data retrieved from the OpenSearch Serverless vector database. The chatbot application container is built using Streamli t and fronted by an AWS Application Load Balancer (ALB).

APIs 94

APIs Chatbots Management Accountability 94

AWS Machine Learning

APRIL 8, 2024

However, in many situations, you may need to retrieve documents created in a defined period or tagged with certain categories. To refine the search results, you can filter based on document metadata to improve retrieval accuracy, which in turn leads to more relevant FM generations aligned with your interests.

APIs 130

APIs Construction Chatbots Accountability 130

AWS Machine Learning

SEPTEMBER 14, 2023

This post takes you through the most common challenges that customers face when searching internal documents, and gives you concrete guidance on how AWS services can be used to create a generative AI conversational bot that makes internal information more useful.

APIs 122

APIs Healthcare Scripts Engineering 122

AWS Machine Learning

MARCH 19, 2024

The user can use the Amazon Recognition DetectText API to extract text data from these images. Upload documents from the data folder assetpartdoc in the GitHub repository to the S3 bucket listed in the CloudFormation stack outputs. Next, you create the knowledge base for the documents in Amazon S3. Choose Next.

Construction 136

Construction Scripts APIs Enterprise 136

AWS Machine Learning

AUGUST 30, 2023

Powered by Amazon Lex , the QnABot on AWS solution is an open-source, multi-channel, multi-language conversational chatbot. This includes automatically generating accurate answers from existing company documents and knowledge bases, and making their self-service chatbots more conversational.

Self service 130

Self service APIs Transportation Contact Center 130