AWS Machine Learning - AI

MARCH 1, 2024

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

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AWS Machine Learning - AI

MARCH 18, 2025

This transcription then serves as the input for a powerful LLM, which draws upon its vast knowledge base to provide personalized, context-aware responses tailored to your specific situation. This solution can transform the patient education experience, empowering individuals to make informed decisions about their healthcare journey.

Artificial Inteligence 113

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AWS Machine Learning - AI

FEBRUARY 19, 2024

One way to enable more contextual conversations is by linking the chatbot to internal knowledge bases and information systems. Integrating proprietary enterprise data from internal knowledge bases enables chatbots to contextualize their responses to each user’s individual needs and interests.

Knowledge Base 133

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AWS Machine Learning - AI

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).

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AWS Machine Learning - AI

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock allows you to build performant and customized Retrieval Augmented Generation (RAG) applications on top of AWS and third-party vector stores using both AWS and third-party models. If you want more control, Knowledge Bases lets you control the chunking strategy through a set of preconfigured options.

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AWS Machine Learning - AI

AUGUST 5, 2024

Retrieval Augmented Generation (RAG) is a state-of-the-art approach to building question answering systems that combines the strengths of retrieval and foundation models (FMs). RAG models first retrieve relevant information from a large corpus of text and then use a FM to synthesize an answer based on the retrieved information.

Knowledge Base 125

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AWS Machine Learning - AI

FEBRUARY 8, 2024

You can now use Agents for Amazon Bedrock and Knowledge Bases for Amazon Bedrock to configure specialized agents that seamlessly run actions based on natural language input and your organization’s data. System integration – Agents make API calls to integrated company systems to run specific actions.

Knowledge Base 140

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AWS Machine Learning - AI

MAY 31, 2024

This means that individuals can ask companies to erase their personal data from their systems and from the systems of any third parties with whom the data was shared. Knowledge Bases for Amazon Bedrock is a fully managed RAG capability that allows you to customize FM responses with contextual and relevant company data.

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AWS Machine Learning - AI

JULY 1, 2024

Generative artificial intelligence (AI)-powered chatbots play a crucial role in delivering human-like interactions by providing responses from a knowledge base without the involvement of live agents. Create new generative AI-powered intent in Amazon Lex using the built-in QnAIntent and point the knowledge base.

Knowledge Base 126

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AWS Machine Learning - AI

MARCH 5, 2025

Ground truth data in AI refers to data that is known to be factual, representing the expected use case outcome for the system being modeled. By providing an expected outcome to measure against, ground truth data unlocks the ability to deterministically evaluate system quality. Amazons operating margin in 2023 was 6.4%.

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AWS Machine Learning - AI

MAY 2, 2025

The role of financial assistant This post explores a financial assistant system that specializes in three key tasks: portfolio creation, company research, and communication. Portfolio creation begins with a thorough analysis of user requirements, where the system determines specific criteria such as the number of companies and industry focus.

Real Estate 91

Real Estate Artificial Inteligence Knowledge Base Lambda 91

AWS Machine Learning - AI

DECEMBER 11, 2024

In the same spirit of using generative AI to equip our sales teams to most effectively meet customer needs, this post reviews how weve delivered an internally-facing conversational sales assistant using Amazon Q Business. The following screenshot shows an example of an interaction with Field Advisor.

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AWS Machine Learning - AI

APRIL 22, 2025

Infosys Event AI is designed to make knowledge universally accessible, making sure that valuable insights are not lost and can be efficiently utilized by individuals and organizations across diverse industries both during the event and after the event has concluded. MediaConnect securely transmits the stream to MediaLive for processing.

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Media Knowledge Base AWS Systems Review 82

AWS Machine Learning - AI

NOVEMBER 22, 2024

Using Amazon Bedrock, you can easily experiment with and evaluate top FMs for your use case, privately customize them with your data using techniques such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that execute tasks using your enterprise systems and data sources.

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AWS Machine Learning - AI

MARCH 20, 2025

Legal teams accelerate contract analysis and compliance reviews , and in oil and gas , IDP enhances safety reporting. Traditionally, documents from portals, email, or scans are stored in Amazon Simple Storage Service (Amazon S3) , requiring custom logic to split multi-document packages.

Data 117

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AWS Machine Learning - AI

APRIL 9, 2025

Its essential for admins to periodically review these metrics to understand how users are engaging with Amazon Q Business and identify potential areas of improvement. We begin with an overview of the available metrics and how they can be used for measuring user engagement and system effectiveness.

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AWS Machine Learning - AI

JANUARY 13, 2025

Enterprises provide their developers, engineers, and architects with a range of knowledge bases and documents, such as usage guides, wikis, and tools. But these resources tend to become siloed over time and inaccessible across teams, resulting in reduced knowledge, duplication of work, and reduced productivity.

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AWS Machine Learning - AI

NOVEMBER 15, 2024

As Principal grew, its internal support knowledge base considerably expanded. With QnABot, companies have the flexibility to tier questions and answers based on need, from static FAQs to generating answers on the fly based on documents, webpages, indexed data, operational manuals, and more.

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AWS Machine Learning - AI

NOVEMBER 20, 2024

In this post, we explore how you can use Amazon Q Business , the AWS generative AI-powered assistant, to build a centralized knowledge base for your organization, unifying structured and unstructured datasets from different sources to accelerate decision-making and drive productivity. you might need to edit the connection.

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AWS Machine Learning - AI

MARCH 20, 2025

Furthermore, by integrating a knowledge base containing organizational data, policies, and domain-specific information, the generative AI models can deliver more contextual, accurate, and relevant insights from the call transcripts. The following screenshots show the UI.

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AWS Machine Learning - AI

MAY 30, 2024

Retrieval Augmented Generation vs. fine tuning Traditional LLMs don’t have an understanding of Vitech’s processes and flow, making it imperative to augment the power of LLMs with Vitech’s knowledge base. These documents are uploaded and stored in Amazon Simple Storage Service (Amazon S3), making it the centralized data store.

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AWS Machine Learning - AI

JUNE 26, 2024

The interaction shows how AI-powered assistants recognize and plan based on user’s prompts, come up with steps to retrieve context from data stores, and pass through various tools and LLM to arrive at a response. Both the action groups and knowledge base are optional and not required for the agent itself.

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AWS Machine Learning - AI

APRIL 18, 2024

This standardization is made possible by using advanced prompts in conjunction with Knowledge Bases for Amazon Bedrock , which stores information on organization-specific Terraform modules. This Knowledge Base includes tailored best practices, security guardrails, and guidelines specific to the organization.

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AWS Machine Learning - AI

APRIL 24, 2024

With AWS generative AI services like Amazon Bedrock , developers can create systems that expertly manage and respond to user requests. An AI assistant is an intelligent system that understands natural language queries and interacts with various tools, data sources, and APIs to perform tasks or retrieve information on behalf of the user.

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AWS Machine Learning - AI

DECEMBER 18, 2024

Generative AIpowered assistants such as Amazon Q Business can be configured to answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. This capability supports various use cases such as IT, HR, and help desk.

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AWS Machine Learning - AI

SEPTEMBER 23, 2024

Evaluating your Retrieval Augmented Generation (RAG) system to make sure it fulfils your business requirements is paramount before deploying it to production environments. With synthetic data, you can streamline the evaluation process and gain confidence in your system’s capabilities before unleashing it to the real world.

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AWS Machine Learning - AI

DECEMBER 10, 2024

Furthermore, Amazon Q Business plugins enable employees to take direct actions within multiple enterprise applicationssuch as upgrading service ticket prioritiesthrough a single Amazon Q Business interface, eliminating the need to switch between different systems and saving valuable time. Then, enter the Amazon S3 URL to your API schema.

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Applications Enterprise Authentication AWS 106

AWS Machine Learning - AI

MARCH 19, 2024

Industrial facilities grapple with vast volumes of unstructured data, sourced from sensors, telemetry systems, and equipment dispersed across production lines. With Knowledge Bases for Amazon Bedrock , you can simplify the RAG development process to provide more accurate anomaly root cause analysis for plant workers.

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AWS Machine Learning - AI

AUGUST 2, 2024

An approach to product stewardship with generative AI Large language models (LLMs) are trained with vast amounts of information crawled from the internet, capturing considerable knowledge from multiple domains. However, their knowledge is static and tied to the data used during the pre-training phase.

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Altexsoft

JUNE 20, 2019

Database Management System or DBMS is a software which communicates with the database itself, applications, and user interfaces to obtain and parse data. For our comparison, we’ve picked 9 most commonly used database management systems: MySQL, MariaDB, Oracle, PostgreSQL, MSSQL, MongoDB, Redis, Cassandra, and Elasticsearch. Relational.

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AWS Machine Learning - AI

OCTOBER 15, 2024

By using Amazon Bedrock Agents , action groups , and Amazon Bedrock Knowledge Bases , we demonstrate how to build a migration assistant application that rapidly generates migration plans, R-dispositions, and cost estimates for applications migrating to AWS. Access to Amazon Bedrock models. For more information, refer to Model access.

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AWS Machine Learning - AI

FEBRUARY 25, 2025

For example: SCP or IAM policy violations Guides developers when they encounter permission issues due to SCPs or strict AWS Identity and Access Management (IAM) boundaries, offering alternatives or escalation paths. Example 2: The following screenshot shows an example of a Terraform error due to a missing variable value.

Lambda 65

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Altexsoft

NOVEMBER 22, 2021

The importance of self-service is steadily increasing, with knowledge bases being the bright representative of the concept. Research shows that customers prefer knowledge bases over other self-service channels, so consider creating one — and we’ll help you figure out what it is and how you can make it best-of-class.

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AWS Machine Learning - AI

OCTOBER 24, 2024

They use the developer-provided instruction to create an orchestration plan and then carry out the plan by invoking company APIs and accessing knowledge bases using Retrieval Augmented Generation (RAG) to provide a final response to the end user. We use Amazon Bedrock Agents with two knowledge bases for this assistant.

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AWS Machine Learning - AI

NOVEMBER 7, 2024

Depending on the use case and data isolation requirements, tenants can have a pooled knowledge base or a siloed one and implement item-level isolation or resource level isolation for the data respectively. Humans can perform a variety of tasks, from data generation and annotation to model review, customization, and evaluation.

Generative AI 113

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AWS Machine Learning - AI

MAY 14, 2024

In this post, we introduce a solution for integrating a “near-real-time human workflow” where humans are prompted by the generative AI system to take action when a situation or issue arises. This can also be a ruled-based method that can determine where, when and how your expert teams can be part of generative AI – user conversations.

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Codegiant

NOVEMBER 23, 2020

I’ll go deep into details and help you narrow down your selection, so you don’t have to waste valuable time reviewing each app individually. User Review “There is something that troubles me. User Review “Easy to use with amazing UI! User Review “Fantastic for cross-team collaboration.” User Review “Finally?—?We

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