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Generative AI is pushing unstructured data to center stage

CIO

The evolution of AI and the use of structured and unstructured data When discriminative AI rose to prominence in sectors such as banking, healthcare, retail, and manufacturing, it was primarily trained on and used to analyze, classify, or make predictions about unstructured data. have encouraged the creation of unstructured data.

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11 most in-demand gen AI jobs companies are hiring for

CIO

A recent survey of senior IT professionals from Foundry found that 57% of IT organizations have identified several areas for gen AI use cases, 25% have started pilot programs, and 41% are engaged in training and upskilling employees on gen AI.

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ChatGPT, Author of The Quixote

O'Reilly Media - Ideas

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. Specific prompts seem to “unlock” training data. Generative AI Has a Plagiarism Problem ChatGPT, for example, doesn’t memorize its training data, per se. This is the basis of The New York Times lawsuit against OpenAI.

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Testing the Robustness of LSTM-Based Sentiment Analysis Models

John Snow Labs

With the proliferation of user-generated content, leveraging the power of sentiment analysis on this dataset allows for a comprehensive understanding of viewers’ perspectives and provides valuable insights for film producers, directors, and distributors to comprehend audience preferences, improve storytelling techniques, and make informed decisions.

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Radar trends to watch: November 2020

O'Reilly Media - Ideas

In the short term, it’s worth watching the CPPA, GDPR, California’s Props 22 and 24, and FCC interference with social media’s enforcement of rules around community behavior. Artificial Intelligence and Machine Learning. Agence is a dynamic film/multiplayer VR game with intelligent agents. Perhaps not. It might work.

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Recommender Systems: Behind the Scenes of Machine-Learning-Based Personalization

Altexsoft

And what does machine learning have to do with it? In this article, we’re taking you down the road of machine learning-based personalization. You’ll learn about the types of recommender systems, their differences, strengths, weaknesses, and real-life examples. Content-based filtering example. Source: TikTok.

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Travel Fraud Protection: Key Types of Travel Scam, Protective Measures, and Software to Consider

Altexsoft

Artificial intelligence and machine learning tools are widely adopted within the insurance sector to automate claim processing. Such tools are trained over lots of data to look for anomalies that can alert the business to potentially fraudulent activity patterns. Typically, they follow the same plot when conning an insurer.

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