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 97

APIs Chatbots Enterprise Healthcare 97

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 99

Chatbots Construction Best practices APIs 99

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 105

APIs Chatbots Construction Engineering 105

AWS Machine Learning

MARCH 19, 2025

The organizations that figure this out first will have a significant competitive advantageand were already seeing compelling examples of whats possible. They arent just building another chatbot; they are reimagining healthcare delivery at scale. Production-ready AI like this requires more than just cutting-edge models or powerful GPUs.

Healthcare 125

Healthcare Enterprise APIs Transportation 125

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 123

Chatbots APIs Engineering Enterprise 123

AWS Machine Learning

MARCH 19, 2025

This could be APIs, code functions, or schemas and structures required by your end application. In this post, we discuss tool use and the new tool choice feature, with example use cases. For example, if a user asks What is the weather in Seattle? For example, if a user asks What is the weather in Seattle?

APIs 71

APIs Engineering Chatbots Best practices 71

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. Save your configuration.

Chatbots 122

Chatbots APIs Self service Contact Center 122

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 128

Chatbots Engineering APIs Technology 128

AWS Machine Learning

DECEMBER 11, 2024

The following screenshot shows an example of an interaction with Field Advisor. Document upload When users need to provide context of their own, the chatbot supports uploading multiple documents during a conversation. We deliver our chatbot experience through a custom web frontend, as well as through a Slack application.

Sales 101

Sales Accountability APIs CRM 101

AWS Machine Learning

NOVEMBER 15, 2024

A chatbot enables field engineers to quickly access relevant information, troubleshoot issues more effectively, and share knowledge across the organization. The following is an example prompt for a router, following the example of financial analysis with heterogeneous data. We give more details on that aspect later in this post.

APIs 117

APIs Engineering Chatbots Construction 117

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

MARCH 29, 2024

For example, the following figure shows screenshots of a chatbot transitioning a customer to a live agent chat (courtesy of WaFd Bank). The associated Amazon Lex chatbot is configured with an escalation intent to process the incoming agent assistance request. The payload includes the conversation ID of the active conversation.

Cloud contact 118

Cloud contact Contact Center Chatbots APIs 118

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 138

Engineering Chatbots Accountability Enterprise 138

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 69

APIs Engineering Metrics Big data 69

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. Implementation on AWS A RAG chatbot can be set up in a matter of minutes using Amazon Bedrock Knowledge Bases. doc,pdf, or.txt).

Chatbots 88

Chatbots Metrics Scripts APIs 88

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

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 123

Chatbots APIs Engineering CRM 123

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

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 128

Management APIs Chatbots Best practices 128

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

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 87

Chatbots APIs Scripts Management 87

Wowdesk Blog

FEBRUARY 4, 2025

It includes help desk software , live chat support , ticketing system , and AI chatbots. Real-Life Example: Zappos, an online retailer, uses customer support software to provide 24/7 personalized assistance. AI-powered chatbots, automation, and live chat support are now essential tools for enhancing customer experience.

Customer Support 52

Customer Support Chatbots Multi-channel support CRM 52

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 117

Chatbots Entertainment APIs Advertising 117

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

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 122

APIs Chatbots Analytics Personalization 122

AWS Machine Learning

MARCH 6, 2025

Here are some examples of these metrics: Retrieval component Context precision Evaluates whether all of the ground-truth relevant items present in the contexts are ranked higher or not. For example, metrics like Answer Relevancy and Faithfulness are typically scored on a scale from 0 to 1.

Metrics 84

Metrics Enterprise APIs Engineering 84

AWS Machine Learning

FEBRUARY 10, 2025

For example, in a manufacturing setting, traditional systems might track inventory but lack the ability to anticipate supply chain disruptions or optimize procurement using real-time market insights. You can deploy or fine-tune models through an intuitive UI or APIs, providing flexibility for all skill levels.

Enterprise 104

Enterprise Engineering APIs Chatbots 104

AWS Machine Learning

JANUARY 28, 2025

For example, a prompt that generates 100 tokens in one model might generate 150 tokens in another. Smart context management For interactive applications such as chatbots, include only relevant context instead of entire conversation history. This approach helps maintain responsiveness regardless of task complexity.

Benchmark 71

Benchmark APIs Engineering Metrics 71

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 120

Engineering Chatbots APIs Benchmark 120

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 134

APIs Finance Chatbots Enterprise 134

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 109

APIs Chatbots Engineering Accountability 109

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

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 130

Chatbots APIs Self service Banking 130

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 116

APIs Chatbots Engineering Best practices 116