CCNG

DECEMBER 11, 2024

For example, given one phrasing of a question, the model can claim to not know the answer, but given a slight rephrase, can answer correctly.” Moreover, it does not offer handy out-of-the-box integrations to your CCaaS or CRM systems for example.

Customer Service 195

Customer Service CCNG APIs Enterprise 195

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). Your primary functions are: 1.

Chatbots 129

Chatbots Engineering APIs Technology 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 125

Chatbots Banking APIs Enterprise 125

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 139

Engineering Chatbots Accountability Enterprise 139

Comm100

OCTOBER 19, 2022

Chatbots are quickly becoming a long-term solution for customer service across all industries. A good chatbot will deliver exceptional value to your customers during their buying journey. But you can only deliver that positive value by making sure your chatbot features offer the best possible customer experience.

Chatbots 98

Chatbots APIs Analytics Upselling 98

AWS Machine Learning

OCTOBER 30, 2024

These include interactive voice response (IVR) systems, chatbots for digital channels, and messaging platforms, providing a seamless and resilient customer experience. Enabling Global Resiliency for an Amazon Lex bot is straightforward using the AWS Management Console , AWS Command Line Interface (AWS CLI), or APIs.

Chatbots 111

Chatbots Interactive Voice Response APIs Telecommunications 111

Inbenta

AUGUST 10, 2021

What does metabot mean in chatbot applications? Metabot example in chatbots. 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. Let’s use an example to make it clearer.

Chatbots 93

Chatbots Banking Accountability APIs 93

AWS Machine Learning

DECEMBER 6, 2023

Enterprises turn to Retrieval Augmented Generation (RAG) as a mainstream approach to building Q&A chatbots. The end goal was to create a chatbot that would seamlessly integrate publicly available data, along with proprietary customer-specific Q4 data, while maintaining the highest level of security and data privacy.

Chatbots 124

Chatbots APIs Engineering Marketing 124

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 98

Chatbots APIs Construction Education 98

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

MARCH 1, 2024

For example, consider the following query: What is the cost of the book " " on ? 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 137

APIs Finance Chatbots Enterprise 137

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 90

Chatbots APIs Scripts Management 90

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 132

APIs Chatbots Metrics Education 132

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

JANUARY 31, 2024

Keyword search alone has challenges capturing semantics and user intent, leading to results that lack relevant context; for example, finding date night or Christmas-themed movies. 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.

Chatbots 122

Chatbots Entertainment APIs Advertising 122

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. For Application name , enter a name (for example, my-tech-assistant ).

APIs 116

APIs Chatbots Engineering Accountability 116

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 126

APIs Chatbots Analytics Personalization 126

AWS Machine Learning

NOVEMBER 22, 2023

SageMaker JumpStart is ideally suited for generative AI use cases for FinServ customers because it offers the following: Customization capabilities – SageMaker JumpStart provides example notebooks and detailed posts for step-by-step guidance on domain adaptation of foundation models. Lewis et al. An Amazon SageMaker Studio domain and user.

Engineering 123

Engineering Chatbots APIs Benchmark 123

AWS Machine Learning

OCTOBER 11, 2024

These agentic workflows decompose the natural language query-based tasks into multiple actionable steps with iterative feedback loops and self-reflection to produce the final result using tools and APIs. Solution overview In this post, we explore a sample use case for an online retail chatbot.

APIs 136

APIs Chatbots Accountability Feedback 136

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

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. Visual data can also influence escalation next steps.

Customer Experience 145

Customer Experience Self service Interactive Voice Response Technical Support 145

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. For example, an LLM can use a “retrieval plugin” to fetch relevant context and perform RAG.

APIs 127

APIs Chatbots Engineering Management 127

AWS Machine Learning

OCTOBER 29, 2024

We walk through the key components and services needed to build the end-to-end architecture, offering example code snippets and explanations for each critical element that help achieve the core functionality. With Lambda integration, we can create a web API with an endpoint to the Lambda function.

Engineering 110

Engineering APIs Sales Enterprise 110

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 133

Best practices Engineering Chatbots Enterprise 133

AWS Machine Learning

SEPTEMBER 1, 2023

Now you can continuously stream inference responses back to the client when using SageMaker real-time inference to help you build interactive experiences for generative AI applications such as chatbots, virtual assistants, and music generators. We chose Falcon 7B as an example, but any model can take advantage of this new streaming feature.

APIs 119

APIs Chatbots Engineering Best practices 119

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

FEBRUARY 5, 2025

Through this practical example, well illustrate how startups can harness the power of LLMs to enhance customer experiences and the simplicity of Nemo Guardrails to guide the LLMs driven conversation toward the desired outcomes. model API exposed by SageMaker JumpStart properly. The Llama 3.1

Chatbots 110

Chatbots Construction Best practices APIs 110

AWS Machine Learning

APRIL 8, 2024

For example, you can use legal documents with similar terms for different contexts, or movies that have a similar plot released in different years. The following are common use cases for metadata filtering: Document chatbot for a software company – This allows users to find product information and troubleshooting guides.

APIs 129

APIs Construction Chatbots Accountability 129

Inbenta

SEPTEMBER 4, 2018

Inbenta has extensive experience deploying intelligent, conversational chatbots throughout large enterprises. After a more recent in-depth review, we’ve outlined the following best practices for securely deployed your AI-based chatbot onto your site. Secure your access to RESTful API services. Understanding the risks.

Chatbots 58

Chatbots APIs Scripts Enterprise 58

AWS Machine Learning

JUNE 8, 2022

Chatbots and virtual assistants have transformed the customer experience from a point-and-click or a drag-and-drop experience to one that is driven by voice or text. In this post, we guide you through the steps required to configure an Amazon Lex V2 chatbot, connect it to Uneeq’s digital human, and manage a conversation. AWS Lambda.

APIs 101

APIs Telecommunications Chatbots Accountability 101

AWS Machine Learning

DECEMBER 4, 2024

Chatbot deployments : Power customer service chatbots that can handle thousands of concurrent real-time conversations with consistently low latency, delivering the quality of a larger model but at significantly lower operational costs. Amazon Bedrock generates responses from the teacher model for the provided prompts.

APIs 116

APIs Metrics Healthcare Chatbots 116

TechSee

JULY 20, 2022

For example, typical computer vision models will identify a generic device (e.g. VI’s automated insights are natively integrated across the TechSee platform and can be fully integrated into any business application via API. Below are a few examples. . Troubleshooting & Chatbots. Introducing VI Studio. a television).

APIs 109

APIs Chatbots Enterprise Interactive Voice Response 109

AWS Machine Learning

NOVEMBER 15, 2024

Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles. Now, employees at Principal can receive role-based answers in real time through a conversational chatbot interface.

Chatbots 112

Chatbots Engineering Enterprise Government 112

AWS Machine Learning

AUGUST 5, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. Included with Amazon Bedrock is Knowledge Bases for Amazon Bedrock.

APIs 115

APIs Engineering Chatbots Management 115

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. For example, when asked “What is Amazon Lex?”,

Self service 129

Self service APIs Transportation Contact Center 129

AWS Machine Learning

JANUARY 14, 2025

See the following figure for an example. The following example illustrates the hybrid RAG high-level architecture. The embedding model, which is hosted on the same EC2 instance as the local LLM API inference server, converts the text chunks into vector representations.

APIs 106

APIs Chatbots Enterprise Healthcare 106

AWS Machine Learning

MAY 1, 2024

For Model name , enter a name (for example, MyModel ). For this example, we enter the question, “Who developed the lie-detecting algorithm Fraudoscope?” Use the model You can access your fine-tuned LLM through the Amazon Bedrock console, API, CLI, or SDKs. However, this post focuses on the Amazon Titan Text G1-Express LLM.

APIs 132

APIs SaaS Accountability Education 132