AWS Machine Learning

FEBRUARY 25, 2025

In 2021, Applus+ IDIADA , a global partner to the automotive industry with over 30 years of experience supporting customers in product development activities through design, engineering, testing, and homologation services, established the Digital Solutions department.

Chatbots 70

Chatbots Engineering Automotive Metrics 70

AWS Machine Learning

MAY 1, 2024

Numerous customers face challenges in managing diverse data sources and seek a chatbot solution capable of orchestrating these sources to offer comprehensive answers. This post presents a solution for developing a chatbot capable of answering queries from both documentation and databases, with straightforward deployment.

Chatbots 120

Chatbots APIs Engineering Automotive 120

AWS Machine Learning

MARCH 19, 2025

This could be APIs, code functions, or schemas and structures required by your end application. Instead of relying on prompt engineering, tool choice forces the model to adhere to the settings in place. Tool choice with Amazon Nova The toolChoice API parameter allows you to control when a tool is called.

APIs 82

APIs Engineering Chatbots Best practices 82

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 112

Engineering Chatbots APIs Benchmark 112

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 102

APIs Chatbots Construction Engineering 102

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.

Government 88

Government Management APIs Accountability 88

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

Netomi

SEPTEMBER 20, 2021

Chatbots are used by 1.4 Companies are launching their best AI chatbots to carry on 1:1 conversations with customers and employees. AI powered chatbots are also capable of automating various tasks, including sales and marketing, customer service, and administrative and operational tasks. What is an AI chatbot?

Chatbots 126

Chatbots APIs Surveys Analytics 126

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 113

Chatbots APIs Engineering Enterprise 113

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. Prompt engineering Prompt engineering is crucial for the knowledge retrieval system.

Chatbots 122

Chatbots Engineering APIs Technology 122

AWS Machine Learning

APRIL 8, 2025

Automated customer Service To handle the thousands of daily customer inquiries, iFood has developed an AI-powered chatbot that can quickly resolve common issues and questions. In the past, the data science and engineering teams at iFood operated independently. The ML platform empowers the building and evolution of ML systems.

Engineering 86

Engineering Virtual Agent Management Technology 86

Inbenta

JULY 2, 2018

Chatbots are a time-saving resource for internal employees whose energy is better spent on meaningful work and productivity. Internal chatbots have the potential to boost accessibility, efficiency, and employee satisfaction in your workplace. Chatbots are easy to use, setup, and deploy. Chatbots streamlining HR support.

Chatbots 110

Chatbots APIs Engineering Customer Support 110

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 111

Cloud contact Contact Center Chatbots APIs 111

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. We deliver our chatbot experience through a custom web frontend, as well as through a Slack application. Outside of work, he enjoys golfing, biking, and exploring the outdoors.

Sales 91

Sales Accountability APIs CRM 91

AWS Machine Learning

NOVEMBER 15, 2024

Use cases we have worked on include: Technical assistance for field engineers – We built a system that aggregates information about a company’s specific products and field expertise. A chatbot enables field engineers to quickly access relevant information, troubleshoot issues more effectively, and share knowledge across the organization.

APIs 112

APIs Engineering Chatbots Construction 112

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 121

Chatbots Banking APIs Enterprise 121

AWS Machine Learning

JANUARY 28, 2025

Prompt engineering for latency optimization When optimizing LLM applications for latency, the way you craft your prompts affects both input processing and output generation. Smart context management For interactive applications such as chatbots, include only relevant context instead of entire conversation history.

Benchmark 70

Benchmark APIs Engineering Metrics 70

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 101

Metrics Enterprise APIs Engineering 101

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 88

Chatbots APIs Engineering Enterprise 88

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 116

Chatbots APIs Engineering CRM 116

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 91

Chatbots Construction Best practices APIs 91

Inbenta

JUNE 1, 2021

Summary: Use Cases of AI Chatbots for Internal Employees. Chatbots Streamline HR Support. Chatbots Facilitate Employee Onboarding. Chatbots Help With Day-to-Day Tasks. Chatbots Prove the Source of Truth: From Taxes to GDPR. Chatbots Empower Physical Robots. Chatbots are easy to use, setup, and deploy.

Chatbots 83

Chatbots APIs Engineering Customer Support 83

AWS Machine Learning

MARCH 18, 2025

You can add additional information such as which SQL engine should be used to generate the SQL queries. With 7 years of experience in developing data solutions, he possesses profound expertise in data visualization, data modeling, and data engineering. Sonnet on Amazon Bedrock as our LLM to generate SQL queries for user inputs.

Enterprise 91

Enterprise Chatbots Engineering Metrics 91

AWS Machine Learning

APRIL 10, 2025

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. We first provided a detailed walkthrough on how to fine-tune, host, and conduct inference with customized Amazon Nova through the Amazon Bedrock API.

APIs 93

APIs Metrics Best practices Construction 93

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 90

Chatbots APIs Construction Education 90

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. You simply can’t train new SMEs overnight.

APIs 100

APIs Chatbots Engineering Accountability 100

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 120

Management APIs Chatbots Best practices 120

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 81

Chatbots Metrics Scripts APIs 81

AWS Machine Learning

NOVEMBER 19, 2024

Leave the session inspired to bring Amazon Q Apps to supercharge your teams’ productivity engines. Reserve your seat now AIM405: Learn to securely invoke Amazon Q Business Chat API December Wednesday 4 | 2:30 PM – 3:30 PM Join this code talk to learn how to use the Amazon Q Business identity-aware ChatSync API.

APIs 87

APIs Enterprise Best practices Government 87

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

MARCH 14, 2024

We provide an overview of key generative AI approaches, including prompt engineering, Retrieval Augmented Generation (RAG), and model customization. Whether creating a chatbot or summarization tool, you can shape powerful FMs to suit your needs. With the right technique, you can build powerful and impactful generative AI solutions.

Best practices 123

Best practices Engineering Chatbots Enterprise 123

AWS Machine Learning

FEBRUARY 10, 2025

Traditional chatbots are limited to preprogrammed responses to expected customer queries, but AI agents can engage with customers using natural language, offer personalized assistance, and resolve queries more efficiently. You can deploy or fine-tune models through an intuitive UI or APIs, providing flexibility for all skill levels.

Enterprise 94

Enterprise Engineering APIs Chatbots 94

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 121

APIs Chatbots Engineering Management 121

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 use Streamlit for the sample demo application UI.

APIs 107

APIs Chatbots Engineering Best practices 107

AWS Machine Learning

JANUARY 4, 2024

We are seeing numerous uses, including text generation, code generation, summarization, translation, chatbots, and more. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) via a single API, enabling to easily build and scale Gen AI applications.

Best practices 135

Best practices Enterprise Engineering APIs 135

AWS Machine Learning

MARCH 27, 2024

In software engineering, there is a direct correlation between team performance and building robust, stable applications. The data community aims to adopt the rigorous engineering principles commonly used in software development into their own practices, which includes systematic approaches to design, development, testing, and maintenance.

Enterprise 106

Enterprise APIs Metrics Engineering 106

Aspect

JANUARY 25, 2021

In our latest release, we’ve taken the next step in delivering effective omnichannel self-service solutions with the integration of additional natural language understanding engines, enhanced voice capabilities, social chat support and new hosting capabilities for disposable applications.

Self service 118

Self service APIs Chatbots Engineering 118