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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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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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Are lifelike digital humans the future of customer experience?

TechCrunch

” It’s worth noting that Soul Machines’ other co-founder, Mark Sagar, has won Academy Awards for his AI engineering efforts creating the characters in the films “Avatar” and “King Kong.” ” Perhaps the skill behind producing such realistic digital humans is why Soul Machines reported a 4.6x

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10 easy ways to learn about cybersecurity without being bored to tears

Lacework

No one likes the tedious, outdated cybersecurity training that companies often require you to complete—you know the ones that won’t let you move onto the next section until you’ve watched an entire video or stayed on the page for a few minutes. Cybersecurity Awareness – Amazon. Structure: Videos, text transcript, or test.

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Guide to Understanding Spatial Computing: How it will revolutionize enterprises?

Openxcell

Irrespective of the industry type, whether for gaming, film and media, simulation, or even the metaverse, every industry is keen to develop and deploy Spatial capabilities. Moreover, one of the examples is social media location tagging, which is a straightforward example of the spatial computing revolution.

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Testing the Robustness of LSTM-Based Sentiment Analysis Models

John Snow Labs

Understanding the IMDB Dataset and Sentiment Analysis The Internet Movie Database (IMDB) dataset, which contains a wealth of movie reviews and ratings, is a great setting for sentiment analysis. Training and Evaluation Upon constructing the LSTM-based sentiment analysis model, we will proceed to train it using the IMDB dataset.

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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. Agence is a dynamic film/multiplayer VR game with intelligent agents. Autonomous weapons, racist AI, social credit, and scams: they’re all here.

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