Remove categories extension
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Top 10 Open-Source LLMs for 2024 and Their Uses

Analytics Vidhya

Introduction Large language models (LLMs) represent a category of artificial intelligence (AI) trained on extensive datasets of text. This training enables them to excel in tasks such as text generation, language translation, creative content creation across various genres, and providing informative responses to queries.

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Let’s Find Out the Sentiment of Tweets

Analytics Vidhya

This is an extensive article on sentiment analysis where our task will be to classify a set of tweets into two categories: racist/sexist non-racist/sexist What is Sentiment Analysis? This article was published as a part of the Data Science Blogathon. Sentiment analysis (also […].

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Extend Your Visual Analytics with Tableau Viz Extensions

Tableau

Viz Extensions extend the capabilities of what Tableau can visualize, adding more tools for people to explore insights and present information in entirely new designs and layouts. The Viz Extensions feature is currently available as a web authoring experience that is enabled in the Tableau Cloud Beta environment.

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TnT-LLM: Text Mining at Scale with Large Language Models

Hacker News

Transforming unstructured text into structured and meaningful forms, organized by useful category labels, is a fundamental step in text mining for downstream analysis and application. We apply TnT-LLM to the analysis of user intent and conversational domain for Bing Copilot (formerly Bing Chat), an open-domain chat-based search engine.

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Uncover your musical journey with Spotify Fanalytics, powered by anthems.fm

Dataconomy

In our experience, Spotify Fanalytics classified our musical inclinations into intriguing categories, such as ‘Your Go-To Groove: On Artist’ and ‘Certified Undiscovered Artist.’ ’ It’s worth noting that these categories might vary from user to user, adding a personal touch to the entire experience.

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Accelerating scope 3 emissions accounting: LLMs to the rescue

IBM Journey to AI blog

Within USEEIO, goods and services are categorized into 66 spend categories, referred to as commodity classes, based on their common environmental characteristics. This involves mapping the 15.909 sectors found across the Eora26 categories and more detailed national sector classifications to the USEEIO 66 spend categories.

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Build brand loyalty by recommending actions to your users with Amazon Personalize Next Best Action

AWS Machine Learning Blog

You can recommend actions such as enrolling in loyalty programs, signing up for a newsletter or magazine, exploring a new category, downloading an app, and other actions that encourage conversion. User A is a frequent buyer and has shopped mostly in the “Beauty & Grooming” and “Jewelry” categories in the past.

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