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.

Generative AI 111

Generative AI Lambda Applications AWS 111

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.

Artificial Inteligence 110

Artificial Inteligence Machine Learning Knowledge Base Architecture 110

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.

Knowledge Base 107

Knowledge Base Artificial Inteligence Analysis AWS 107

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 125

Knowledge Base Artificial Inteligence Study AWS 125

AWS Machine Learning - AI

MARCH 4, 2025

We demonstrate how to harness the power of LLMs to build an intelligent, scalable system that analyzes architecture documents and generates insightful recommendations based on AWS Well-Architected best practices. This scalability allows for more frequent and comprehensive reviews.

Generative AI 92

Generative AI Technical Review Software Review Systems Review 92

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. Amazon Bedrock simplifies the process of developing and scaling generative AI applications powered by large language models (LLMs) and other foundation models (FMs).

Knowledge Base 111

Knowledge Base Artificial Inteligence Generative AI AWS 111

AWS Machine Learning - AI

NOVEMBER 1, 2024

Organizations need to prioritize their generative AI spending based on business impact and criticality while maintaining cost transparency across customer and user segments. This visibility is essential for setting accurate pricing for generative AI offerings, implementing chargebacks, and establishing usage-based billing models.

Generative AI 126

Generative AI AWS Artificial Inteligence Budget 126

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 108

Knowledge Base Artificial Inteligence Applications Lambda 108

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 98

Data Generative AI Artificial Inteligence Compliance 98

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.

Artificial Inteligence 87

Artificial Inteligence Knowledge Base Comparison Generative AI 87

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 114

Knowledge Base Artificial Inteligence Lambda Authentication 114

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 121

Knowledge Base Artificial Inteligence Lambda Applications 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.

Generative AI 96

Generative AI Applications AWS Knowledge Base 96

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 115

Lambda Enterprise Automotive Knowledge Base 115

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.

Generative AI 111

Generative AI AWS Groups Artificial Inteligence 111

AWS Machine Learning - AI

NOVEMBER 22, 2024

The map functionality in Step Functions uses arrays to execute multiple tasks concurrently, significantly improving performance and scalability for workflows that involve repetitive operations. Furthermore, our solutions are designed to be scalable, ensuring that they can grow alongside your business.

Generative AI 74

Generative AI AWS Technical Review Backup 74

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 113

Knowledge Base AWS Generative AI Artificial Inteligence 113

CIO

NOVEMBER 1, 2024

The team opted to build out its platform on Databricks for analytics, machine learning (ML), and AI, running it on both AWS and Azure. I want to provide an easy and secure outlet that’s genuinely production-ready and scalable. Gen AI is quite different because the models are pre-trained,” Beswick explains.

Generative AI 183

Generative AI Technical Advisors Insurance Weak Development Team 183

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.

Knowledge Base 96

Knowledge Base Artificial Inteligence Programming Generative AI 96

AWS Machine Learning - AI

AUGUST 6, 2024

Now I’d like to turn to a slightly more technical, but equally important differentiator for Bedrock—the multiple techniques that you can use to customize models and meet your specific business needs. Customization unlocks the transformative potential of large language models.

Generative AI 124

Generative AI Artificial Inteligence Applications Knowledge Base 124

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. You can also bring your own customized models and deploy them to Amazon Bedrock for supported architectures.

Generative AI 99

Generative AI AWS Artificial Inteligence Enterprise 99

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 73

Generative AI Systems Review Software Review Artificial Inteligence 73

AWS Machine Learning - AI

DECEMBER 4, 2024

When users pose questions through the natural language interface, the chat agent determines whether to query the structured data in Amazon Athena through the Amazon Bedrock IDE function, search the Amazon Bedrock knowledge base, or combine both sources for comprehensive insights.

Generative AI 94

Generative AI Applications Technical Review Software Review 94

AWS Machine Learning - AI

JANUARY 29, 2025

However, even in a decentralized model, often LOBs must align with central governance controls and obtain approvals from the CCoE team for production deployment, adhering to global enterprise standards for areas such as access policies, model risk management, data privacy, and compliance posture, which can introduce governance complexities.

Generative AI 75

Generative AI Organization Enterprise Artificial Inteligence 75

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.

AWS 85

AWS Generative AI Technical Review Artificial Inteligence 85

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.

Generative AI 116

Generative AI Artificial Inteligence AWS Serverless 116

CIO

NOVEMBER 1, 2024

The team opted to build out its platform on Databricks for analytics, machine learning (ML), and AI, running it on both AWS and Azure. I want to provide an easy and secure outlet that’s genuinely production-ready and scalable. Gen AI is quite different because the models are pre-trained,” Beswick explains.

Generative AI 158

Generative AI Technical Advisors Insurance Weak Development Team 158

AWS Machine Learning - AI

JANUARY 22, 2025

The following screenshot shows an example of the event filters (1) and time filters (2) as seen on the filter bar (source: Cato knowledge base ). Retrieval Augmented Generation (RAG) Retrieve relevant context from a knowledge base, based on the input query. This context is augmented to the original query.

Network 98

Network Artificial Inteligence Machine Learning Serverless 98

John Snow Labs

JANUARY 25, 2024

Attributed to its state-of-the-art artificial intelligence (AI) models and proven customer success, the focus on generative AI has gained the company industry recognition. The newly released Medical Chatbot provides a conversational interface to a suite of medical knowledge bases, updated daily.

Artificial Inteligence 94

Artificial Inteligence Generative AI Case Study Healthcare 94

AWS Machine Learning - AI

MAY 13, 2024

In part 1 of this blog series, we discussed how a large language model (LLM) available on Amazon SageMaker JumpStart can be fine-tuned for the task of radiology report impression generation. Evaluating LLMs is an undervalued part of the machine learning (ML) pipeline.

Generative AI 117

Generative AI Artificial Inteligence Report Healthcare 117

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.

Artificial Inteligence 71

Artificial Inteligence Artificial Intelligence Enterprise Machine Learning 71

AWS Machine Learning - AI

APRIL 24, 2024

Conversational artificial intelligence (AI) assistants are engineered to provide precise, real-time responses through intelligent routing of queries to the most suitable AI functions. It uses the provided conversation history, action groups, and knowledge bases to understand the context and determine the necessary tasks.

Artificial Inteligence 120

Artificial Inteligence Lambda Knowledge Base IoT 120

AWS Machine Learning - AI

SEPTEMBER 24, 2024

It also enables operational capabilities including automated testing, conversation analytics, monitoring and observability, and LLM hallucination prevention and detection. “We An optional CloudFormation stack to enable an asynchronous LLM hallucination detection feature. seconds or less.

Knowledge Base 89

Knowledge Base Generative AI Artificial Inteligence Lambda 89

AWS Machine Learning - AI

AUGUST 2, 2024

Generative artificial intelligence (AI) is rapidly emerging as a transformative force, poised to disrupt and reshape businesses of all sizes and across industries. However, their knowledge is static and tied to the data used during the pre-training phase. User interface – A conversational chatbot enables interaction with users.

Artificial Inteligence 102

Artificial Inteligence Generative AI Energy Knowledge Base 102

AWS Machine Learning - AI

MAY 30, 2024

Hosting large language models Vitech explored the option of hosting Large Language Models (LLMs) models using Amazon Sagemaker. Vitech needed a fully managed and secure experience to host LLMs and eliminate the undifferentiated heavy lifting associated with hosting 3P models.

Artificial Inteligence 115

Artificial Inteligence Technical Review Development Team Review Software Review 115

AWS Machine Learning - AI

NOVEMBER 14, 2024

We use Anthropic’s Claude 3 Sonnet model in Amazon Bedrock and Streamlit for building the application front-end. 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. endswith('.pdf'):

Software Review 92

Software Review Technical Review AWS Artificial Inteligence 92

AWS Machine Learning - AI

MAY 9, 2024

Verisk is using generative artificial intelligence (AI) to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles. The Approach When building an interactive agent with large language models (LLMs), there are often two techniques that can be used: RAG and fine-tuning.

Generative AI 124

Generative AI Artificial Inteligence Technical Review Development Team Review 124