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Harnessing the power of enterprise data with generative AI: Insights from Amazon Kendra, LangChain, and large language models

AWS Machine Learning

Furthermore, the cost to train new LLMs can prove prohibitive for many enterprise settings. However, it’s possible to cross-reference a model answer with the original specialized content, thereby avoiding the need to train a new LLM model, using Retrieval-Augmented Generation (RAG). The AWS Command Line Interface (AWS CLI) v2.

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Search for answers accurately using Amazon Kendra S3 Connector with VPC support

AWS Machine Learning

This post provides the steps to help you create an enterprise search engine on AWS using Amazon Kendra by connecting documents stored in a S3 bucket only accessible from within a VPC. For more information, see enhancing enterprise search with Amazon Kendra. On the Amazon Kendra console, choose Search indexed content.

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Amazon SageMaker JumpStart now offers Amazon Comprehend notebooks for custom classification and custom entity detection

AWS Machine Learning

You can use custom classification to organize documents into categories (classes) that you define. In this post, we show you how to use JumpStart to build Amazon Comprehend custom classification and custom entity detection models as part of your enterprise NLP needs. You can find your notebooks by using search or the tabbed view panel.

APIs 73
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Accelerate disaster response with computer vision for satellite imagery using Amazon SageMaker and Amazon Augmented AI

AWS Machine Learning

For more information, refer to Preview: Use Amazon SageMaker to Build, Train, and Deploy ML Models Using Geospatial Data. The teams used existing FEMA categories for damage such as flooding, debris, fire and smoke, or landslides, which standardized the label categories. Results The following code shows an example of our results.

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Keep Your Site Structured and Healthy with Guided Content Framework

Mindtouch

Categories to help build sections and shelves. Within Guided Content Framework, categories are the highest level of the hierarchy. In a library, categories would function like sections and the shelves within those sections where groups of books and other media are kept. For example: Category : All Enterprise Products.

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Keep Your Site Structured and Healthy with Guided Content Framework

Mindtouch

Categories to help build sections and shelves. Within Guided Content Framework, categories are the highest level of the hierarchy. In a library, categories would function like sections and the shelves within those sections where groups of books and other media are kept. For example: Category : All Enterprise Products.

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B2B Customer Journey Touchpoints CS Teams Need To Plan For

Totango

Let’s break down how customer journey touchpoints fall into each category. Touchpoints may involve any medium you use to interact with customers, including: Search engine marketing. Generally speaking, SaaS business touchpoints can be organized into eight main categories based on the main stages in your customer journey : Awareness.

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