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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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10G Challenge Winners Leverage Power of Multi-Gigabit Network

CableLabs

We wanted to know how their creations would leverage the four pillars of the multi-gigabit platform: faster internet speeds, better security, lower latency and improved reliability. Live Category Winner: Xennial Digital is creating the future of medical simulation training using the reliability of the 10G broadband network.

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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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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. Internet of Things devices (such as sensors in a warehouse and on robots). Moreover, it has evolved into a paramount tool for employee education and training.

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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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What is Cloud Computing? Everything You Need to Know – Architecture, Benefits & Much More

Openxcell

The quick response is that it’s located somewhere at the other end of your internet connection; it’s a location from which you may access apps and services and where your data can be safely stored. Applications are delivered across the internet using this kind of cloud computing, often with a browser-based user interface.