AWS Machine Learning - AI

MAY 31, 2024

Amazon Bedrock is a fully managed service that makes foundational models (FMs) from leading artificial intelligence (AI) companies and Amazon available through an API, so you can choose from a wide range of FMs to find the model that’s best suited for your use case. The following diagram depicts a high-level RAG architecture.

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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

OCTOBER 29, 2024

We have built a custom observability solution that Amazon Bedrock users can quickly implement using just a few key building blocks and existing logs using FMs, Amazon Bedrock Knowledge Bases , Amazon Bedrock Guardrails , and Amazon Bedrock Agents.

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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.

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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. Knowledge Bases for Amazon Bedrock provides fully managed RAG to supply the agent with access to your data.

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AWS Machine Learning - AI

SEPTEMBER 25, 2024

In the realm of generative artificial intelligence (AI) , Retrieval Augmented Generation (RAG) has emerged as a powerful technique, enabling foundation models (FMs) to use external knowledge sources for enhanced text generation. Latest innovations in Amazon Bedrock Knowledge Base provide a resolution to this issue.

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AWS Machine Learning - AI

JULY 10, 2024

Knowledge Bases for Amazon Bedrock is a fully managed service that helps you implement the entire Retrieval Augmented Generation (RAG) workflow from ingestion to retrieval and prompt augmentation without having to build custom integrations to data sources and manage data flows, pushing the boundaries for what you can do in your RAG workflows.

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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.

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AWS Machine Learning - AI

JULY 2, 2024

In November 2023, we announced Knowledge Bases for Amazon Bedrock as generally available. Knowledge bases allow Amazon Bedrock users to unlock the full potential of Retrieval Augmented Generation (RAG) by seamlessly integrating their company data into the language model’s generation process.

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TechBeacon

DECEMBER 3, 2020

The automated program, dubbed Tay, responded to tweets and incorporated the content of those tweets into its knowledge base, riffing off the topics to carry on conversations. In 2016, Microsoft released a prototype chatbot on Twitter.

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AWS Machine Learning - AI

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. 2024, Principal Financial Services, Inc.

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AWS Machine Learning - AI

AUGUST 5, 2024

Finding relevant content usually requires searching through text-based metadata such as timestamps, which need to be manually added to these files. Included with Amazon Bedrock is Knowledge Bases for Amazon Bedrock. With Knowledge Bases for Amazon Bedrock, we first set up a vector database on AWS.

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Ivanti

JUNE 11, 2024

However, AI-based knowledge management can deliver outstanding benefits – especially for IT teams mired in manually maintaining knowledge bases. It uses machine learning algorithms to analyze and learn from large datasets, then uses that to generate new content.

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AWS Machine Learning - AI

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.

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CIO

APRIL 12, 2024

prides itself in delivering “legendary” customer service, and it has turned to artificial intelligence to assist with that goal. Explaining life out here The Hey GURA assistant includes a wide-ranging “life out here” knowledge base, echoing Tractor Supply’s corporate brand message. Tractor Supply Co.

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Cloudera

DECEMBER 20, 2023

Cloudera is launching and expanding partnerships to create a new enterprise artificial intelligence “AI” ecosystem. In a stack including Cloudera Data Platform the applications and underlying models can also be deployed from the data management platform via Cloudera Machine Learning.

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AWS Machine Learning - AI

MARCH 4, 2025

Knowledge base integration Incorporates up-to-date WAFR documentation and cloud best practices using Amazon Bedrock Knowledge Bases , providing accurate and context-aware evaluations. Amazon Textract extracts the content from the uploaded documents, making it machine-readable for further processing.

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Samanage

JUNE 6, 2019

AI and Machine Learning for Businesses. After all, artificial intelligence (AI) and machine learning have been put to work by tech industry-leading companies and other forward-thinking organizations for more than a decade. In fact, machine learning for businesses is more than just a contemporary gadget.

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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. Hasan helps design, deploy and scale Generative AI and Machine learning applications on AWS.

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CIO

APRIL 25, 2023

ChatGPT’s conversational interface is a distinguished method of accessing its knowledge. This interface paired with increased tokens and an expansive knowledge base with many more parameters, helps ChatGPT to seem quite human-like. Learn more about Protiviti’s Artificial Intelligence Services.

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CIO

NOVEMBER 20, 2023

Instead of waiting on hold or navigating through phone menus, customers can instantly get answers from a virtual agent that is far more engaging and knowledgeable than past generations of chatbots. Outcomes are fed back into machine learning models to improve prediction accuracy continually. Artificial Intelligence

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TechCrunch

OCTOBER 20, 2021

Healx’s platform, called Healnet , uses machine learning to crawl through data on existing drugs, and potential disease targets, to find new connections. Healx’s approach happens to be artificial intelligence. . Healx’s clinical trial on potential Fragile X drugs will be the company’s first on a repositioned drug.

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AWS Machine Learning - AI

NOVEMBER 15, 2024

To help with fairness in AI applications that are built on top of Amazon Bedrock, application developers should explore model evaluation and human-in-the-loop validation for model outputs at different stages of the machine learning (ML) lifecycle. Amazon Bedrock Knowledge Bases manages the end-to-end RAG workflow for you.

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AWS Machine Learning - AI

SEPTEMBER 24, 2024

We will walk you through deploying and testing these major components of the solution: An AWS CloudFormation stack to set up an Amazon Bedrock knowledge base, where you store the content used by the solution to answer questions. This solution uses Amazon Bedrock LLMs to find answers to questions from your knowledge base.

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AWS Machine Learning - AI

NOVEMBER 1, 2024

By fine-tuning, the LLM can adapt its knowledge base to specific data and tasks, resulting in enhanced task-specific capabilities. He has extensive experience designing end-to-end machine learning and business analytics solutions in finance, operations, marketing, healthcare, supply chain management, and IoT.

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AWS Machine Learning - AI

DECEMBER 11, 2024

When Amazon Q Business became generally available in April 2024, we quickly saw an opportunity to simplify our architecture, because the service was designed to meet the needs of our use caseto provide a conversational assistant that could tap into our vast (sales) domain-specific knowledge bases.

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CIO

AUGUST 8, 2024

The business narrative around generative artificial intelligence (GenAI) has been consumed with real-world use cases. Today, with GenAI, it is possible to integrate a comprehensive view of the customer into existing workflows for real-time decision making.

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TechCrunch

MAY 5, 2021

London-based One Peak Partners is leading this Series C, with previous investors Susquehanna Growth Equity (SGE), Vertex Ventures Israel, Vertex Growth and Dell Technologies Capital also participating. “Our vision is to be the largest cybersecurity ‘consulting firm’ without consultants,” he joked. .

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AWS Machine Learning - AI

NOVEMBER 14, 2024

Solution overview This solution uses the Amazon Bedrock Knowledge Bases chat with document feature to analyze and extract key details from your invoices, without needing a knowledge base. Jobandeep Singh is an Associate Solution Architect at AWS specializing in Machine Learning.

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AWS Machine Learning - AI

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. If a knowledge base ID is configured , the Bot Fulfillment Lambda function forwards the request to the knowledge base.

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AWS Machine Learning - AI

JANUARY 29, 2025

Accelerate your generative AI application development by integrating your supported custom models with native Bedrock tools and features like Knowledge Bases, Guardrails, and Agents. Raj specializes in Machine Learning with applications in Generative AI, Natural Language Processing, Intelligent Document Processing, and MLOps.

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Apiumhub

MARCH 24, 2025

Among the many concerns humans have about artificial intelligence, AI bias stands out as one of the most significant. Thats why AI solutions like COGNOS take a different approachby relying on a controlled, client-approved knowledge base rather than unfiltered online data. How Can Bias Reach AI Agents?

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AWS Machine Learning - AI

DECEMBER 18, 2024

Enterprises that have adopted ServiceNow can improve their operations and boost user productivity by using Amazon Q Business for various use cases, including incident and knowledge management. Navigate to the deployed web experience URL and sign with your AWS IAM Identity Center credentials.

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OverOps

NOVEMBER 13, 2018

AIOps, at its core, is a data-driven practice of bridging resources and leveraging AI and machine learning to make predictions based on historical data. Machine learning and artificial intelligence are complex concepts. AIOps seems to be all the rage these days, and it’s not hard to figure out why.

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AWS Machine Learning - AI

JANUARY 29, 2025

Centralized model In a centralized operating model, all generative AI activities go through a central generative artificial intelligence and machine learning (AI/ML) team that provisions and manages end-to-end AI workflows, models, and data across the enterprise.

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AWS Machine Learning - AI

AUGUST 6, 2024

As we’ve all heard, large language models (LLMs) are transforming the way we leverage artificial intelligence (AI) and enabling businesses to rethink core processes. The solution is powered by Amazon Bedrock and customized with data to go beyond traditional email-based systems.

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TechCrunch

SEPTEMBER 6, 2022

He looked to AI and machine learning for the solution, a complement to everything already in the organization, to build “a machine that allows you to test your security controls and security posture, continuously and on demand, and to get the results immediately… one step before the hackers.”

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