Remove categories natural-language-processing
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Intent Classification with Convolutional Neural Networks

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Text classification is a machine-learning approach that groups text into pre-defined categories.

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Text Data Augmentation in Natural Language Processing with Texattack

Analytics Vidhya

Introduction Data Augmentation (DA) Technique is a process that enables us to artificially increase training data size by generating different versions of real datasets without actually collecting the data. The data needs to be changed to preserve the class categories for better performance in […].

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Accelerating scope 3 emissions accounting: LLMs to the rescue

IBM Big Data Hub

This article explores an innovative way to streamline the estimation of Scope 3 GHG emissions leveraging AI and Large Language Models (LLMs) to help categorize financial transaction data to align with spend-based emissions factors. Why are Scope 3 emissions difficult to calculate? This is where LLMs come into play.

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10 most in-demand generative AI skills

CIO Business Intelligence

Analyzing the hiring behaviors of companies on its platform, freelance work marketplace Upwork has AI to be the fastest growing category for 2023, noting that posts for generative AI jobs increased more than 1000% in Q2 2023 compared to the end of 2022, and that related searches for AI saw a more than 1500% increase during the same time.

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AI, predictive analytics top list of hot technologies for banks

CIO Business Intelligence

Hot technologies for banks also include 5G , natural language processing (NLP) , microservices architecture , and computer vision, according to Forrester’s recent Top Emerging Technologies in Banking In 2022 report. AI enhances operational efficiency. RPA, blockchain are on the radar for banks.

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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

While generative AI has been around for several years , the arrival of ChatGPT (a conversational AI tool for all business occasions, built and trained from large language models) has been like a brilliant torch brought into a dark room, illuminating many previously unseen opportunities. So, if you have 1 trillion data points (g.,

Strategy 289
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Natural Language Processing: How It Works (In Plain English!)

Dataiku

series, we went through a high-level overview of machine learning and explored two key categories of supervised learning algorithms ( linear and tree-based models ), two key unsupervised learning techniques ( clustering and dimensionality reduction ), and recommendation engines which can use either supervised or unsupervised learning.

IT 121