AWS Machine Learning - AI

JULY 1, 2024

Organizations strive to implement efficient, scalable, cost-effective, and automated customer support solutions without compromising the customer experience. You can simply connect QnAIntent to company knowledge sources and the bot can immediately handle questions using the allowed content. Choose Create knowledge base.

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Knowledge Base Artificial Inteligence Generative AI AWS 122

AWS Machine Learning - AI

NOVEMBER 22, 2024

You can change and add steps without even writing code, so you can more easily evolve your application and innovate faster. The map functionality in Step Functions uses arrays to execute multiple tasks concurrently, significantly improving performance and scalability for workflows that involve repetitive operations.

Generative AI 82

Generative AI AWS Technical Review Backup 82

AWS Machine Learning - AI

NOVEMBER 14, 2024

In this post, we provide a step-by-step guide with the building blocks needed for creating a Streamlit application to process and review invoices from multiple vendors. Streamlit is an open source framework for data scientists to efficiently create interactive web-based data applications in pure Python.

Software Review 102

Software Review Technical Review AWS Artificial Inteligence 102

AWS Machine Learning - AI

MARCH 5, 2025

To scale ground truth generation and curation, you can apply a risk-based approach in conjunction with a prompt-based strategy using LLMs. There are three user inputs to the step function: A custom name for the ground truth dataset The input Amazon S3 prefix for the source data The percentage to sample for review.

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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 116

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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

MARCH 11, 2025

The Amazon Nova family of models includes Amazon Nova Micro, Amazon Nova Lite, and Amazon Nova Pro, which support text, image, and video inputs while generating text-based outputs. Although GPT-4o has gained traction in the AI community, enterprises are showing increased interest in Amazon Nova due to its lower latency and cost-effectiveness.

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Artificial Inteligence Knowledge Base Comparison Generative AI 97

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. Not only that, but our sales teams devise action plans that they otherwise might have missed without AI assistance.

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AWS Machine Learning - AI

MARCH 20, 2025

It integrates with existing applications and includes key Amazon Bedrock features like foundation models (FMs), prompts, knowledge bases, agents, flows, evaluation, and guardrails. Update the due date for a JIRA ticket. Deploy the solution Complete the following deployment steps: Download the code from GitHub.

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AWS Machine Learning - AI

JULY 11, 2024

In the diverse toolkit available for deploying cloud infrastructure, Agents for Amazon Bedrock offers a practical and innovative option for teams looking to enhance their infrastructure as code (IaC) processes. Go directly to the Knowledge Base section. Create a service role for Agents for Amazon Bedrock.

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Software Review Infrastructure Lambda Generative AI 130

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

APRIL 10, 2025

They offer fast inference, support agentic workflows with Amazon Bedrock Knowledge Bases and RAG, and allow fine-tuning for text and multi-modal data. To do so, we create a knowledge base. Complete the following steps: On the Amazon Bedrock console, choose Knowledge Bases in the navigation pane.

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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

The Asure team was manually analyzing thousands of call transcripts to uncover themes and trends, a process that lacked scalability. Staying ahead in this competitive landscape demands agile, scalable, and intelligent solutions that can adapt to changing demands.

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AWS Machine Learning - AI

FEBRUARY 25, 2025

Troubleshooting infrastructure as code (IaC) errors often consumes valuable time and resources. This post demonstrates how you can use Amazon Bedrock Agents to create an intelligent solution to streamline the resolution of Terraform and AWS CloudFormation code issues through context-aware troubleshooting.

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AWS Machine Learning - AI

JANUARY 29, 2025

Intelligent document processing , translation and summarization, flexible and insightful responses for customer support agents, personalized marketing content, and image and code generation are a few use cases using generative AI that organizations are rolling out in production. You determine what qualifies based on your company policies.

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AWS Machine Learning - AI

JANUARY 29, 2025

Their DeepSeek-R1 models represent a family of large language models (LLMs) designed to handle a wide range of tasks, from code generation to general reasoning, while maintaining competitive performance and efficiency. Review the model response and metrics provided.

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AWS Machine Learning - AI

APRIL 24, 2024

They provide a strategic advantage for developers and organizations by simplifying infrastructure management, enhancing scalability, improving security, and reducing undifferentiated heavy lifting. They also allow for simpler application layer code because the routing logic, vectorization, and memory is fully managed.

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Apiumhub

NOVEMBER 15, 2018

Software documentation tools are very important in software development. Software teams may refer to documentation when talking about product requirements, release notes, or design specs. They may use docs to detail code, APIs, and record their software development processes. It is like a compass for your team.

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AWS Machine Learning - AI

MAY 30, 2024

Vitech is a global provider of cloud-centered benefit and investment administration software. 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.

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CIO

JULY 22, 2024

Data from IDC’s 2024 North American IT Skills Survey reports the impacts of IT skills gaps: 62% report impacts to achieving revenue growth objectives 59% report declines in customer satisfaction 60% are dealing with slower hardware/software deployments. With traditional training programs, we’re seeing the problem only get worse.

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Technical Review Performance Training Software Review 166

Perficient

JANUARY 9, 2025

Scalability and Performance MuleSoft It is suitable for enterprise-level applications and is designed to handle large-scale integrations and high data volumes. The architecture supports microservices, enhancing scalability and performance. Some users may find this limiting if they require on-premises solutions for sensitive data.

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AWS Machine Learning - AI

NOVEMBER 7, 2024

In the first part of the series, we showed how AI administrators can build a generative AI software as a service (SaaS) gateway to provide access to foundation models (FMs) on Amazon Bedrock to different lines of business (LOBs). You also need to consider the operational characteristics and noisy neighbor risks.

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AWS Machine Learning - AI

MAY 9, 2024

Through advanced analytics, software, research, and industry expertise across over 20 countries, Verisk helps build resilience for individuals, communities, and businesses. The software as a service (SaaS) platform offers out-of-the-box solutions for life, annuity, employee benefits, and institutional annuity providers.

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Generative AI Artificial Inteligence Technical Review Development Team Review 130

John Snow Labs

DECEMBER 13, 2024

John Snow Labs Generative AI platform can access, understand, and apply the latest evidence-based research from the most authoritative knowledge bases. This new AI solution is powered by John Snow Labs , the award-winning Healthcare AI company and the worlds leading provider of Medical Language Models.

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Knowledge Base Generative AI Artificial Inteligence Guidelines 52

AWS Machine Learning - AI

MARCH 13, 2025

Refer to the following code: Request: POST /model-invocation-job HTTP/1.1 The following is example code for the GetModelInvocationJob API: GET /model-invocation-job/jobIdentifier HTTP/1.1 The following is example code for the GetModelInvocationJob API: GET /model-invocation-job/jobIdentifier HTTP/1.1

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AWS Machine Learning - AI

MAY 13, 2024

In this part of the blog series, we review techniques of prompt engineering and Retrieval Augmented Generation (RAG) that can be employed to accomplish the task of clinical report summarization by using Amazon Bedrock. promptTemplate = f""" You have to generate radiology report impressions based on the following findings.

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Generative AI Artificial Inteligence Report Healthcare 127

Altexsoft

SEPTEMBER 15, 2020

This is initially done by composing software requirements specifications. For instance, NASA’s Mars Climate Orbiter mission failed due to incompatible measure units. Nobody specified beforehand that the attitude-control system and navigation software should both use the same metric or imperial units.

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AWS Machine Learning - AI

SEPTEMBER 18, 2024

Generative AI and large language models (LLMs) offer new possibilities, although some businesses might hesitate due to concerns about consistency and adherence to company guidelines. For the personalizer, we used Claude Sonnet due to the relative complexity of the task compared to code generation handled by Haiku.

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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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AWS Machine Learning - AI

OCTOBER 23, 2024

Built using Amazon Bedrock Knowledge Bases , Amazon Lex , and Amazon Connect , with WhatsApp as the channel, our solution provides users with a familiar and convenient interface. The result is improved accuracy in FM responses, with reduced hallucinations due to grounding in verified data.

Lambda 92

Lambda Knowledge Base Generative AI AWS 92

Samanage

JULY 17, 2019

Here are a few common types of data in the service desk world that you may be able to collect or need to have on hand when making a switch: Knowledge base articles or documents. On paper, many software products you know may claim to do just about everything, but are customers actually using the product and happy with their experience?

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Apiumhub

MARCH 26, 2019

2019 has become a remarkable year for Apiumhub ; new office, Apium Academy , Open Source Projects , software architecture meetups, cool innovative projects and… we can’t wait to share with you guys that the Apiumhub team is organizing the Global Software Architecture Summit (GSAS) 10th of October in Barcelona. Michael Feathers.

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AWS Machine Learning - AI

SEPTEMBER 20, 2024

These agents help users complete actions based on organizational data and user input, orchestrating interactions between foundation models (FMs), data sources, software applications, and user conversations. The following GitHub repository contains the Python AWS CDK code to deploy the same example.

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AWS Machine Learning - AI

JUNE 5, 2024

Although new features were released every other week, documentation for the features took an average of 3 weeks to complete, including drafting, review, and publication. The review process could also be long depending on the number of inaccuracies found, leading to additional revisions, additional reviews, and additional delays.

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AWS Machine Learning - AI

MARCH 14, 2024

With Knowledge Bases for Amazon Bedrock , you can give FMs and agents contextual information from your company’s private data sources for RAG to deliver more relevant, accurate, and customized responses. You can privately customize FMs with your own data through a visual interface without writing any code.

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Generative AI AWS Applications Artificial Inteligence 127

Codegiant

NOVEMBER 9, 2020

From the desk of a brilliant weirdo #2 In this article, we will review 39 of the best software development and programming tools, ranging from web development and interactive development to rapid application development. Jira Jira is one of the best software management tools by Atlassian. User Review “Great UI and experience.

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