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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. Artificial Intelligence

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This week in AI: Amazon ‘enhances’ reviews with AI while Snap’s goes rogue

TechCrunch

So until an AI can do it for you, here’s a handy roundup of the last week’s stories in the world of machine learning, along with notable research and experiments we didn’t cover on their own. There is scientific value in thinking about connections between biological hardware and large-scale artificial intelligence networks.

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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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A startup is charging $1.99 for strings of text to feed to DALL-E 2

TechCrunch

In general, the results for a prompt like “Film still of a woman drinking coffee, walking to work, telephoto” will be much more consistent than “A woman walking.” “Those people who can craft the quality prompts required guide the AI to do these things will be extremely valuable. .”

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Disney-backed Inworld raises new cash for its AI-powered virtual characters

TechCrunch

Inworld also made a notable hire, bringing on John Gaeta, perhaps best known for the “bullet time” effect in the Matrix film franchise, as its chief creative officer. Image Credits: Inworld AI. The characters can then be integrated into games and apps via packages for common engines or an API.

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D&I lessons to learn from top global organizations

Hacker Earth Developers Blog

This is because those algorithms are trained on data that features primarily white faces. Here are a few D&I lessons that we can learn from the world’s most renowned multinational technology company. . The organization believes that D&I improves outcomes for its employees, products, and users. Organization in focus: SAP .

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Drive hyper-personalized customer experiences with Amazon Personalize and generative AI

AWS Machine Learning - AI

Amazon Personalize is a fully managed machine learning (ML) service that makes it easy for developers to deliver personalized experiences to their users. Use case 1: Carousel titles for movie collections A micro-genre is a specialized subcategory within a broader genre of film, music, or other forms of media.