AWS Machine Learning - AI

NOVEMBER 19, 2024

In this post, we demonstrate how to create an automated email response solution using Amazon Bedrock and its features, including Amazon Bedrock Agents , Amazon Bedrock Knowledge Bases , and Amazon Bedrock Guardrails. These indexed documents provide a comprehensive knowledge base that the AI agents consult to inform their responses.

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CIO

DECEMBER 9, 2024

This is particularly true with enterprise deployments as the capabilities of existing models, coupled with the complexities of many business workflows, led to slower progress than many expected. But this isnt intelligence in any human sense. Failure to do so could mean a 500% to 1,000% error increase in their cost calculations.

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Enterprise Artificial Inteligence Off-The-Shelf Knowledge Base 174

CIO

NOVEMBER 11, 2024

Saudi Arabia has announced a 100 billion USD initiative aimed at establishing itself as a major player in artificial intelligence, data analytics, and advanced technology. Saudi Arabia’s AI ambitions are rooted in its Vision 2030 agenda, which outlines AI as a key pillar in the country’s transition to a knowledge-based economy.

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AWS Machine Learning - AI

JULY 3, 2024

Knowledge Bases for Amazon Bedrock is a fully managed capability that helps you securely connect foundation models (FMs) in Amazon Bedrock to your company data using Retrieval Augmented Generation (RAG). In the following sections, we demonstrate how to create a knowledge base with guardrails.

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CIO

NOVEMBER 13, 2024

One is going through the big areas where we have operational services and look at every process to be optimized using artificial intelligence and large language models. And the second is deploying what we call LLM Suite to almost every employee. “We’re doing two things,” he says.

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AWS Machine Learning - AI

DECEMBER 23, 2024

The process can be broken down as follows: Based on domain definition, the large language model (LLM) can identify the entities and relationship contained in the unstructured data, which are then stored in a graph database such as Neptune.

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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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Knowledge Base Artificial Inteligence Analysis AWS 114

AWS Machine Learning - AI

OCTOBER 31, 2024

The solution integrates large language models (LLMs) with your organization’s data and provides an intelligent chat assistant that understands conversation context and provides relevant, interactive responses directly within the Google Chat interface. Which LLM you want to use in Amazon Bedrock for text generation.

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AWS Machine Learning - AI

FEBRUARY 29, 2024

Amazon Bedrock provides a broad range of models from Amazon and third-party providers, including Anthropic, AI21, Meta, Cohere, and Stability AI, and covers a wide range of use cases, including text and image generation, embedding, chat, high-level agents with reasoning and orchestration, and more.

Knowledge Base 132

Knowledge Base Artificial Inteligence Study AWS 132

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 120

Knowledge Base Artificial Inteligence Generative AI AWS 120

AWS Machine Learning - AI

MARCH 18, 2025

This is where the integration of cutting-edge technologies, such as audio-to-text translation and large language models (LLMs), holds the potential to revolutionize the way patients receive, process, and act on vital medical information. These insights can include: Potential adverse event detection and reporting.

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Artificial Inteligence Technical Review Healthcare Systems Review 78

Perficient

NOVEMBER 20, 2024

Introduction to Multiclass Text Classification with LLMs Multiclass text classification (MTC) is a natural language processing (NLP) task where text is categorized into multiple predefined categories or classes. Traditional approaches rely on training machine learning models, requiring labeled data and iterative fine-tuning.

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Artificial Inteligence Metrics Airlines Travel 52

TechCrunch

JUNE 28, 2022

Launched in 2021, Heyday is designed to automatically save web pages and pull in content from cloud apps, resurfacing the content alongside search engine results and curating it into a knowledge base. Investors include Spark Capital, which led a $6.5 million seed round in the company that closed today.

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AWS Machine Learning - AI

FEBRUARY 19, 2024

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 use the advanced natural language capabilities of large language models (LLMs) to respond to customer questions.

Knowledge Base 117

Knowledge Base Artificial Inteligence Applications Lambda 117

AWS Machine Learning - AI

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. This process involves updating the model’s weights to improve its performance on targeted applications.

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AWS Machine Learning - AI

MARCH 20, 2025

Traditionally, transforming raw data into actionable intelligence has demanded significant engineering effort. It often requires managing multiple machine learning (ML) models, designing complex workflows, and integrating diverse data sources into production-ready formats.

Data 106

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CIO

OCTOBER 24, 2024

Deploy automation processes and accurate knowledge bases to speed up help desk response and resolution. Leverage AI and machine learning capabilities – through endpoint management and service desk automation platforms – to detect data “signals” such as performance trends and thresholds before they become full-blown problems.

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Metrics Machine Learning Artificial Inteligence Report 178

Cloudera

NOVEMBER 1, 2023

And so we are thrilled to introduce our latest applied ML prototype (AMP) — a large language model (LLM) chatbot customized with website data using Meta’s Llama2 LLM and Pinecone’s vector database. We invite you to explore the improved functionalities of this latest AMP.

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AWS Machine Learning - AI

MARCH 11, 2025

OpenAI launched GPT-4o in May 2024, and Amazon introduced Amazon Nova models at AWS re:Invent in December 2024. Large language models (LLMs) are generally proficient in responding to user queries, but they sometimes generate overly broad or inaccurate responses.

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AWS Machine Learning - AI

APRIL 23, 2024

Generative artificial intelligence (AI) has gained significant momentum with organizations actively exploring its potential applications. This post explores the new enterprise-grade features for Knowledge Bases on Amazon Bedrock and how they align with the AWS Well-Architected Framework.

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Knowledge Base Scalability Applications Generative AI 122

AWS Machine Learning - AI

MARCH 13, 2025

This post was co-written with Vishal Singh, Data Engineering Leader at Data & Analytics team of GoDaddy Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) in these solutions has become increasingly popular.

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AWS Machine Learning - AI

NOVEMBER 12, 2024

In this blog post, we demonstrate prompt engineering techniques to generate accurate and relevant analysis of tabular data using industry-specific language. This is done by providing large language models (LLMs) in-context sample data with features and labels in the prompt.

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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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Knowledge Base Artificial Inteligence AWS Generative AI 129

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.

Knowledge Base 123

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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.

Knowledge Base 129

Knowledge Base Artificial Inteligence Lambda Applications 129

CIO

MARCH 18, 2024

SAP and Nvidia announced an expanded partnership today with an eye to deliver the accelerated computing that customers need in order to adopt large language models (LLMs) and generative AI at scale. We wanted to design it in a way that customers don’t have to care about complexity,” he said.

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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).

Knowledge Base 121

Knowledge Base Generative AI Artificial Inteligence AWS 121

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

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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AWS Machine Learning - AI

NOVEMBER 7, 2024

AI agents , powered by large language models (LLMs), can analyze complex customer inquiries, access multiple data sources, and deliver relevant, detailed responses. Amazon Bedrock Agents coordinates interactions between foundation models (FMs), knowledge bases, and user conversations.

Lambda 123

Lambda Enterprise Automotive Knowledge Base 123

CIO

OCTOBER 24, 2023

It’s been almost one year since a new breed of artificial intelligence took the world by storm. The capabilities of these new generative AI tools, most of which are powered by large language models (LLM), forced every company and employee to rethink how they work.

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AWS Machine Learning - AI

MARCH 5, 2025

These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques. To learn more about FMEval, see Evaluate large language models for quality and responsibility of LLMs.

Generative AI 72

Generative AI Systems Review Artificial Inteligence Software Review 72

CIO

NOVEMBER 7, 2023

Use retrieval-augmented generation (RAG) Retrieval-augmented generation (RAG) is a technique that allows models to retrieve information from a specified dataset or knowledge base. Using certain prompt engineering techniques can train models to respond in more predictable ways and can increase the accuracy of problem-solving.

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Generative AI Artificial Inteligence Software Review Artificial Intelligence 195

Dzone - DevOps

JANUARY 9, 2025

The fast growth of artificial intelligence (AI) has created new opportunities for businesses to improve and be more creative. A key development in this area is intelligent agents. These agents are becoming critical in transforming DevOps and cloud delivery processes.

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AWS Machine Learning - AI

MARCH 18, 2025

Today, generative AI can help bridge this knowledge gap for nontechnical users to generate SQL queries by using a text-to-SQL application. This application allows users to ask questions in natural language and then generates a SQL query for the users request. However, off-the-shelf LLMs cant be used without some modification.

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AWS Machine Learning - AI

AUGUST 5, 2024

An end-to-end RAG solution involves several components, including a knowledge base, a retrieval system, and a generation system. Building and deploying these components can be complex and error-prone, especially when dealing with large-scale data and models. Choose Sync to initiate the data ingestion job.

Knowledge Base 120

Knowledge Base AWS Generative AI Machine Learning 120

InfoWorld

APRIL 8, 2024

The business opportunities are driving many development teams to build knowledge bases with vector databases and embed large language models (LLMs) into their applications. To read this article in full, please click here

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Artificial Inteligence Testing How To Generative AI 71