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 103

APIs Engineering Chatbots Management 103

AWS Machine Learning

APRIL 8, 2024

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With Knowledge Bases for Amazon Bedrock, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data using a fully managed Retrieval Augmented Generation (RAG) model.

APIs 123

APIs Construction Chatbots Accountability 123

AWS Machine Learning

SEPTEMBER 13, 2024

Intricate workflows that require dynamic and complex API orchestration can often be complex to manage. In this post, we explore how chaining domain-specific agents using Amazon Bedrock Agents can transform a system of complex API interactions into streamlined, adaptive workflows, empowering your business to operate with agility and precision.

APIs 126

APIs Enterprise Best practices Accountability 126

AWS Machine Learning

APRIL 26, 2024

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With Knowledge Bases for Amazon Bedrock, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG).

APIs 121

APIs Enterprise Chatbots Engineering 121

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. Dynamic information retrieval – Amazon Bedrock agents can use web search APIs to fetch up-to-date information on a wide range of topics.

APIs 102

APIs Chatbots Construction Engineering 102

AWS Machine Learning

AUGUST 15, 2024

QnABot on AWS (an AWS Solution) now provides access to Amazon Bedrock foundational models (FMs) and Knowledge Bases for Amazon Bedrock , a fully managed end-to-end Retrieval Augmented Generation (RAG) workflow. 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

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. However, for this use case, the complexity associated with fine-tuning and the costs were not warranted.

Chatbots 121

Chatbots Engineering APIs Technology 121

Inbenta

APRIL 29, 2020

Depending on the context in which the chatbot project takes place, and therefore its scope of action, its implementation may take more or less time. Indeed, the development of a chatbot implies creating new jobs such as the one of Botmaster for example. How long does it take to deploy an AI chatbot? Let’s see what these can be.

Chatbots 140

Chatbots APIs Construction Best practices 140

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. Avoiding the well-known problem of hallucination.)

APIs 100

APIs Chatbots Engineering Accountability 100

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 80

Chatbots APIs Scripts Management 80

AWS Machine Learning

JANUARY 31, 2024

By combining embeddings that capture semantics with a technique called Retrieval Augmented Generation (RAG) , you can generate more relevant answers based on retrieved context from your own data sources. Create a knowledge base. Sync your knowledge base with your data source.

Chatbots 108

Chatbots Entertainment APIs Advertising 108

AWS Machine Learning

NOVEMBER 18, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

APIs 93

APIs Surveys Chatbots Construction 93

AWS Machine Learning

NOVEMBER 1, 2024

Although tagging is supported on a variety of Amazon Bedrock resources —including provisioned models, custom models, agents and agent aliases, model evaluations, prompts, prompt flows, knowledge bases, batch inference jobs, custom model jobs, and model duplication jobs—there was previously no capability for tagging on-demand foundation models.

APIs 129

APIs Management Accountability Metrics 129

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

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

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 119

Management APIs Chatbots Best practices 119

AWS Machine Learning

NOVEMBER 15, 2024

As Principal grew, its internal support knowledge base considerably expanded. 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.

Chatbots 114

Chatbots Engineering Enterprise Feedback 114

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

NOVEMBER 18, 2024

Amazon Bedrock provided the flexibility to explore various leading LLM models using a single API, reducing the undifferentiated heavy lifting associated with hosting third-party models. Continuous model enhancements – Amazon Bedrock provides access to a vast and continuously expanding set of FMs through a single API.

Benchmark 83

Benchmark APIs Engineering Sales 83

AWS Machine Learning

OCTOBER 2, 2024

Whether you are developing a customer service chatbot or a virtual assistant, there are numerous considerations to keep in mind, from defining the agent’s scope and capabilities to architecting a robust and scalable infrastructure. Knowledge Base: bankingFAQ Should I invest in bitcoins? We do not provide investment advices.

Best practices 94

Best practices APIs Metrics Benchmark 94

AWS Machine Learning

SEPTEMBER 20, 2024

There are many challenges that can impact employee productivity, such as cumbersome search experiences or finding specific information across an organization’s vast knowledge bases. Knowledge management: Amazon Q Business helps organizations use their institutional knowledge more effectively.

Wireless 96

Wireless Enterprise Chatbots APIs 96

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. a) to augment its knowledge, along with the user query (3.b). The following is a general diagram of a RAG workflow.

Chatbots 78

Chatbots Metrics Scripts APIs 78

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

NOVEMBER 22, 2023

The LLM generated text, and the IR system retrieves relevant information from a knowledge base. 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.

Engineering 112

Engineering Chatbots Benchmark APIs 112

CSM Magazine

SEPTEMBER 27, 2024

Additionally, tools like WhatsApp Business API allow businesses to meet users where they already are, blending personal convenience with professional service delivery. Intelligent Chatbots and AI Assistance Incorporating AI-powered chatbots shifts customer service from being purely reactive to innately proactive.

Customer Service 52

Customer Service Abandon rate Chatbots APIs 52

JivoChat

JULY 29, 2021

And 40% of consumers don’t care whether it’s a chatbot or a person providing customer service. So why not delegate some of your customer service tasks to chatbots and free up valuable time for your live agents? But there’s another option: Chatbots with artificial intelligence (AI). What is an AI Chatbot?

Chatbots 52

Chatbots Sales APIs Analytics 52

AWS Machine Learning

SEPTEMBER 13, 2024

The application generates SQL queries based on the user’s input, runs them against an Athena database containing CUR data, and presents the results in a user-friendly format. The LangChain code uses the BedrockChat class from LangChain to invoke the FM and interact with Amazon Bedrock to generate a SQL query based on the user’s input.

APIs 85

APIs Chatbots Best practices Management 85

AWS Machine Learning

NOVEMBER 15, 2024

In Part 1 of this series, we defined the Retrieval Augmented Generation (RAG) framework to augment large language models (LLMs) with a text-only knowledge base. A chatbot enables field engineers to quickly access relevant information, troubleshoot issues more effectively, and share knowledge across the organization.

APIs 106

APIs Engineering Chatbots Construction 106

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 121

Self service APIs Transportation Contact Center 121

AWS Machine Learning

MARCH 14, 2024

Whether creating a chatbot or summarization tool, you can shape powerful FMs to suit your needs. 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, Mistral AI, Stability AI, and Amazon via a single API.

Best practices 122

Best practices Engineering Chatbots Enterprise 122

AWS Machine Learning

MAY 14, 2024

The entire conversation in this use case, starting with generative AI and then bringing in human agents who take over, is logged so that the interaction can be used as part of the knowledge base. We built the RAG solution as detailed in the following GitHub repo and used SageMaker documentation as the knowledge base.

Chatbots 109

Chatbots Feedback Engineering Entertainment 109

Inbenta

OCTOBER 4, 2022

When a user sends a message using one of the supported messaging channels (such as web chatbot, Whatsapp, Telegram, Line, Slack, Facebook Messenger, or Instagram), the user’s request goes to Sunshine Co and then gets routed to Inbenta SunCo app. How to get the Zendesk SunCo integration? Ensure your customers get understood.

Chatbots 64

Chatbots CRM APIs Personalization 64

DMG Consulting

NOVEMBER 7, 2024

Conversational artificial intelligence (CAI)—intelligent virtual agents (IVAs), voicebots, chatbots, or just plain bots—can automate many tasks and inquiries that were previously handled by live agents, which reduces operating expenses.

Self service 48

Self service Contact Center Virtual Agent CRM 48

AWS Machine Learning

SEPTEMBER 14, 2023

The following risks and limitations are associated with LLM based queries that a RAG approach with Amazon Kendra addresses: Hallucinations and traceability – LLMS are trained on large data sets and generate responses on probabilities. Please read this post to learn how to implement the RAG approach with Amazon Kendra.

APIs 113

APIs Healthcare Scripts Engineering 113

Expivia

FEBRUARY 15, 2024

This is the next generation in the Generative AI Chatbot. API Openings and Screen Recording for Chrome OS: Opening APIs for analytics, particularly for full transcription data, and introducing screen recording capabilities for Chrome OS users are significant steps forward.

Virtual Agent 75

Virtual Agent APIs Analytics Chatbots 75

AWS Machine Learning

AUGUST 28, 2024

With our solution, you can identify the intent of customer emails and send an automated response if the intent matches your existing knowledge base or data sources. An agent helps your end-users complete actions based on organization data and user input. The following architecture diagram highlights the end-to-end solution.

Customer Experience 76

Customer Experience APIs Accountability Construction 76

AWS Machine Learning

DECEMBER 6, 2023

To create AI assistants that are capable of having discussions grounded in specialized enterprise knowledge, we need to connect these powerful but generic LLMs to internal knowledge bases of documents. To understand these limitations, let’s consider again the example of deciding where to invest based on financial reports.

Analytics 120

Analytics APIs Engineering Construction 120