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Get Context-Driven Natural Language Processing for Better Search Results

Dataversity

If your business is focused on data-driven, fact-based decisions, your business users may be leveraging an analytics solution to gather, find, and analyze data. Business goals include improving results and productivity and getting the best results out of your data, as well as gaining meaningful insight into data.

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Transforming Enterprise Search with Generative AI

ODSC - Open Data Science

While traditional keyword-based search tools have long been the standard, they often fall short when it comes to understanding context, intent, and the nuances of human language. Often synonymous with large language models (LLMs) and used on the open web, generative AI can also be tremendously useful in the enterprise.

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Natural Language Processing Examples: 5 Ways We Interact Daily

Defined.ai blog

That’s the power of Natural Language Processing (NLP) at work. In this exploration, we’ll journey deep into some Natural Language Processing examples , as well as uncover the mechanics of how machines interpret and generate human language. What is Natural Language Processing?

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Improve your Stable Diffusion prompts with Retrieval Augmented Generation

AWS Machine Learning Blog

As an ever-increasing number of customers embark on their text-to-image endeavors, a common hurdle arises—how to craft prompts that wield the power to yield high-quality, purpose-driven images. This technique is particularly useful for knowledge-intensive natural language processing (NLP) tasks.

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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 Blog

Large language models (LLMs) with their broad knowledge, can generate human-like text on almost any topic. By sourcing context-relevant data, the model can provide informed, up-to-date responses tailored to your use case. This synergy enables more accurate topic modeling, content recommendation, and semantic search capabilities.

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Personalize your generative AI applications with Amazon SageMaker Feature Store

AWS Machine Learning Blog

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. One such component is a feature store, a tool that stores, shares, and manages features for machine learning (ML) models.

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Inside the Release: Tableau 2022.2 for Analysts and Business Users

Tableau

Let’s dive into the capabilities that will help you make better and faster decisions. To get started, add a Data Story object to your dashboard. You can set characteristics to give context to your data, customize how your story is displayed, and even add notes, a header and footer, functions, conditions, and context variables. .

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