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.

Knowledge Base 107

Knowledge Base Artificial Inteligence Generative AI AWS 107

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 93

Knowledge Base Artificial Inteligence Applications Lambda 93

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 115

Knowledge Base Insurance Lambda AWS 115

AWS Machine Learning - AI

NOVEMBER 22, 2023

In this post, we demonstrate question answering tasks using a Retrieval Augmented Generation (RAG)-based approach with large language models (LLMs) in SageMaker JumpStart using a simple financial domain use case. RAG is a framework for improving the quality of text generation by combining an LLM with an information retrieval (IR) system.

Artificial Inteligence 88

Artificial Inteligence Serverless Engineering Generative AI 88

AWS Machine Learning - AI

MAY 9, 2024

Verisk’s FAST platform is a leader in the life insurance and retirement sector, providing enhanced efficiency and flexible, easily upgradable architecture. In this post, we describe the development of the customer support process in FAST incorporating generative AI, the data, the architecture, and the evaluation of the results.

Generative AI 100

Generative AI Artificial Inteligence Technical Review Development Team Review 100

AWS Machine Learning - AI

MAY 13, 2024

It’s serverless, so you don’t have to manage any infrastructure. 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.

Generative AI 63

Generative AI Artificial Inteligence Systems Review Technical Review 63

AWS Machine Learning - AI

MARCH 14, 2024

The skills needed to properly integrate, customize, and validate FMs within existing systems and data are in short supply. Beyond hardware, data cleaning and processing, model architecture design, hyperparameter tuning, and training pipeline development demand specialized machine learning (ML) skills.

Generative AI 99

Generative AI AWS Applications Artificial Inteligence 99