AWS Machine Learning

SEPTEMBER 20, 2024

Amazon Bedrock agents use LLMs to break down tasks, interact dynamically with users, run actions through API calls, and augment knowledge using Amazon Bedrock Knowledge Bases. In this post, we demonstrate how to use Amazon Bedrock Agents with a web search API to integrate dynamic web content in your generative AI application.

APIs 106

APIs Chatbots Construction Engineering 106

AWS Machine Learning

JANUARY 14, 2025

In this post, we show how to extend Amazon Bedrock Agents to hybrid and edge services such as AWS Outposts and AWS Local Zones to build distributed Retrieval Augmented Generation (RAG) applications with on-premises data for improved model outcomes. Through the frontend application, the user prompts the chatbot interface with a question.

APIs 98

APIs Chatbots Enterprise Healthcare 98

AWS Machine Learning

FEBRUARY 5, 2025

Retrieval and Execution Rails: These govern how the AI interacts with external tools and data sources. When integrating models from SageMaker JumpStart with NeMo Guardrails, the direct interaction with the SageMaker inference API requires some customization, which we will explore below. Heres how we implement this. The Llama 3.1

Chatbots 100

Chatbots Construction Best practices APIs 100

AWS Machine Learning

NOVEMBER 15, 2024

We gave practical tips, based on hands-on experience with customer use cases, on how to improve text-only RAG solutions, from optimizing the retriever to mitigating and detecting hallucinations. We first introduce routers, and how they can help managing diverse data sources. This post focuses on doing RAG on heterogeneous data formats.

APIs 118

APIs Engineering Chatbots Construction 118

AWS Machine Learning

MAY 30, 2024

Amazon Bedrock is a fully managed service that makes FMs from leading AI startups and Amazon available via an API, so one can choose from a wide range of FMs to find the model that is best suited for their use case. The prompt guides the LLM on how to respond and interact based on the user question. Prompts also help ground the model.

Chatbots 129

Chatbots Engineering APIs Technology 129

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. Select the partner event source and choose Associate with event bus.

Chatbots 123

Chatbots APIs Self service Contact Center 123

AWS Machine Learning

SEPTEMBER 15, 2023

Large language model (LLM) agents are programs that extend the capabilities of standalone LLMs with 1) access to external tools (APIs, functions, webhooks, plugins, and so on), and 2) the ability to plan and execute tasks in a self-directed fashion. Note that the next action may or may not involve using a tool or API.

APIs 128

APIs Chatbots Engineering Management 128

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

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.

Chatbots 94

Chatbots Interactive Voice Response Customer Service APIs 94

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

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. In this first post, we focus on the basics of RAG architecture and how to optimize text-only RAG. But what is a retriever exactly?

Chatbots 89

Chatbots Metrics Scripts APIs 89

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

TechSee

JUNE 9, 2022

In the quest to create choices for customers, organizations have deployed technologies from chatbots, mobile apps and social media to IVR and ACD. For example, a customer’s smart vacuum won’t start, so they initiate a chatbot session on the manufacturer’s website. AR annotations overlay instructions on how to reset the device.

Customer Experience 145

Customer Experience Self service Interactive Voice Response Technical Support 145

AWS Machine Learning

MARCH 19, 2025

The question is no longer whether to adopt generative AI, but how to move from promising pilots to production-ready systems that deliver real business value. They arent just building another chatbot; they are reimagining healthcare delivery at scale. The results speak for themselvestheir inference stack achieves up to 3.1

Healthcare 118

Healthcare Enterprise APIs Transportation 118

AWS Machine Learning

MARCH 19, 2025

This could be APIs, code functions, or schemas and structures required by your end application. To add fine-grained control to how tools are used, we have released a feature for tool choice for Amazon Nova models. Based on the users query, Amazon Nova will select the appropriate tool and tell you how to use it.

APIs 71

APIs Engineering Chatbots Best practices 71

AWS Machine Learning

FEBRUARY 14, 2023

When the user signs in to an Amazon Lex chatbot, user context information can be derived from Amazon Cognito. The Amazon Lex chatbot can be integrated into Amazon Kendra using a direct integration or via an AWS Lambda function. The use of the AWS Lambda function will provide you with fine-grained control of the Amazon Kendra API calls.

Chatbots 96

Chatbots APIs Construction Education 96

AWS Machine Learning

DECEMBER 11, 2024

Document upload When users need to provide context of their own, the chatbot supports uploading multiple documents during a conversation. I then use Field Advisor to brainstorm ideas on how to best position AWS services. We deliver our chatbot experience through a custom web frontend, as well as through a Slack application.

Sales 102

Sales Accountability APIs CRM 102

Calabrio

MARCH 4, 2025

Workforce Management 2025 Guide to the Omnichannel Contact Center: How to Drive Success with the Right Software, Strategy, and Solutions Share Calling, email, texting, instant messaging, social mediathe communication channels available to us today can seem almost endless. What Are the Benefits of Having an Omnichannel Contact Center?

Contact Center 52

Contact Center Contact center software Multichannel APIs 52

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 86

Metrics Enterprise APIs Engineering 86

Cyara

JUNE 27, 2022

When it comes to testing WhatsApp chatbots up to now there have been mainly two approaches: Testing manually on a smartphone. Testing backend functionality with API Testing. This article was originally published on Botium’s blog on January 28, 2021, prior to Cyara’s acquisition of Botium. Learn more about Cyara + Botium.

Chatbots 67

Chatbots APIs 67

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 88

Chatbots APIs Scripts Management 88

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

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. We use the IMDb and Box Office Mojo dataset to simulate a catalog for media and entertainment customers and showcase how you can build your own RAG solution in just a couple of steps.

Chatbots 118

Chatbots Entertainment APIs Advertising 118

Inbenta

AUGUST 10, 2021

What does metabot mean in chatbot applications? Metabot example in chatbots. How does a metabot provide appropriate answers? Inbenta’s chatbot module: your go-to metabot. But what is a metabot in chatbot applications? Chatbots are frequently really good at handling one type of request, usually, Q&A flows.

Chatbots 93

Chatbots Banking Accountability APIs 93

Wowdesk Blog

FEBRUARY 4, 2025

In this article, we explore how customer support software enhances business efficiency and customer satisfaction, the features that matter, and how to choose the best customer support software for your business. It includes help desk software , live chat support , ticketing system , and AI chatbots.

Customer Support 52

Customer Support Chatbots Multi-channel support CRM 52

AWS Machine Learning

MARCH 18, 2025

Solution overview This solution is primarily based on the following services: Foundational model We use Anthropics Claude 3.5 Sonnet on Amazon Bedrock as our LLM to generate SQL queries for user inputs. streamlit run app.py To visit the application using your browser, navigate to the localhost.

Enterprise 80

Enterprise Chatbots Engineering Metrics 80

AWS Machine Learning

SEPTEMBER 26, 2024

This post shows how aerospace customers can use AWS generative AI and ML-based services to address this document-based knowledge use case, using a Q&A chatbot to provide expert-level guidance to technical staff based on large libraries of technical documents. Finally, we need to create user access permissions to our chatbot.

APIs 111

APIs Chatbots Engineering Accountability 111

AWS Machine Learning

MAY 16, 2023

In this post, we walk through how to deploy the GPT-NeoXT-Chat-Base-20B model and invoke the model within an OpenChatKit interactive shell. This demonstration provides an open-source foundation model chatbot for use within your application. Let’s explore how we can use the GPT-NeoXT-Chat-Base-20B model in JumpStart.

Chatbots 98

Chatbots Scripts APIs Feedback 98

Talkdesk

SEPTEMBER 4, 2020

Through the use of APIs, an entire ecosystem of pre-vetted banks and third-party providers is integrated, allowing a company to serve its customer base better and faster. The post How to reframe the banking experience: Defining the new norm for banking contact centers appeared first on Talkdesk. The rise of the mobile agent.

Banking 114

Banking Contact Center APIs Cloud contact 114

JivoChat

APRIL 23, 2023

Chatbots have become a success around the world, and nowadays are used by 58% of B2B companies and 42% of B2C companies. In 2022 at least 88% of users had one conversation with chatbots. There are many reasons for that, a chatbot is able to simulate human interaction and provide customer service 24h a day. What Is a Chatbot?

Chatbots 75

Chatbots B2C Self service B2B 75

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 131

Chatbots APIs Self service Banking 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 93

APIs Chatbots Management Accountability 93

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. Lewis et al. The following diagram shows the conceptual flow of using RAG with LLMs.

Engineering 121

Engineering Chatbots APIs Benchmark 121

AWS Machine Learning

MARCH 1, 2024

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. Contextual-based chatbots – Conversations can rapidly change direction and cover unpredictable topics.

APIs 135

APIs Finance Chatbots Enterprise 135

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. Addressing privacy Amazon Comprehend already addresses privacy through its existing PII detection and redaction abilities via the DetectPIIEntities and ContainsPIIEntities APIs.

APIs 123

APIs Chatbots Analytics Personalization 123

AWS Machine Learning

JANUARY 28, 2025

As businesses increasingly use large language models (LLMs) for these critical tasks and processes, they face a fundamental challenge: how to maintain the quick, responsive performance users expect while delivering the high-quality outputs these sophisticated models promise.

Benchmark 72

Benchmark APIs Engineering Metrics 72

Inbenta

AUGUST 30, 2021

Botium automates chatbot testing to boost the customer experience, cover all quality standards, meaning functional as well as non-functional testing. The Inbenta connector enables Inbenta users to test the following aspects of their chatbot: Regression Testing. The first step is to push the register new chatbot button in Botium Box.

Chatbots 59

Chatbots APIs Customer Experience Technology 59