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This new language app is like Netflix meets Masterclass, but for learning French

Fast Company Tech

This is the vision behind a new language learning platform that recently launched. Then, you dive into the story and language through an informal video lesson called After Short. And if you want to spend a lifetime learning a language, it has to be entertaining, or else you will throw in the towel. since then.

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Explaining Tokens — the Language and Currency of AI

NVIDIA AI Blog

Under the hood of every AI application are algorithms that churn through data in their own language, one based on a vocabulary of tokens. AI factories a new class of data centers designed to accelerate AI workloads efficiently crunch through tokens, converting them from the language of AI to the currency of AI, which is intelligence.

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Pinterest Changes User Terms So It Can Train AI on User Data and Photos, Regardless of When They Were Posted

Futurism

Pinterest has updated itsprivacy policy to reflect its use of platform user data and images to train AItools. In the update, Pinterest claims its goal in training AI is to "improve the products and services of our family of companies and offer new features." Later, the company provided us with an emailed statement.

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Meta will start using data from EU users to train its AI models

Engadget

Meta plans to start using data collected from its users in the European Union to train its AI systems, the company announced today. The company notes it will only use data it collects from public posts and Meta AI interactions for training purposes.

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Apple will use its street view Maps photos to train AI models

Engadget

Apple plans to start using images it collects for Maps to train its AI models. In a disclosure spotted by 9to5Mac , the company said starting this month it would use images it captures to provide its Look Around feature for the additional purpose of training some of its generative AI models.

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Retrieval-augmented visual-language pre-training

Google Research AI blog

Posted by Ziniu Hu, Student Researcher, and Alireza Fathi, Research Scientist, Google Research, Perception Team Large-scale models, such as T5 , GPT-3 , PaLM , Flamingo and PaLI , have demonstrated the ability to store substantial amounts of knowledge when scaled to tens of billions of parameters and trained on large text and image datasets.

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Why do LLMs make stuff up? New research peers under the hood.

Ars Technica

One of the most frustrating things about using a large language model is dealing with its tendency to confabulate information , hallucinating answers that are not supported by its training data.

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