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AI Accurately Converts Brain Signals Into Video

Analytics Vidhya

In a ground-breaking research study published by Nature, artificial intelligence (AI) can now translate brain signals into video with significant accuracy. The AI model, named CEBRA, was developed by scientists from École Polytechnique Fédérale de Lausanne (EPFL).

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Apple MM1 is not a chip but a multimodal AI

Dataconomy

In a discreet move, Apple’s research team has published a document shedding light on the company’s advancements in MM1, a suite of advanced multimodal large language models. These models are designed for a variety of applications including natural language inference, image captioning, and visual question answering.

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Are LLMs Only Good for Chat-Based Solutions? Exploring Beyond Language Tasks

Towards AI

Last Updated on April 11, 2024 by Editorial Team Author(s): Andy Spezzatti Originally published on Towards AI. These models have become central across a range of fields, from boosting productivity to fostering innovation in sectors not traditionally linked with language processing. Published via Towards AI

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Analyse Customer Reviews with Natural Language Processing.

Towards AI

Last Updated on July 15, 2023 by Editorial Team Author(s): Flo Originally published on Towards AI. Using CountVectorizer, an implementation of bag-of-words Top highlight Image by Flo on OpenSea, UX Natural Language Processing In this article, we build our machine learning model to guess customer reviews tone based on historical data.

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SALMONN, The First AI Model that Hears As Humans Do

Towards AI

Last Updated on November 10, 2023 by Editorial Team Author(s): Ignacio de Gregorio Originally published on Towards AI. The Path Toward Human-Like Senses Continues People often underestimate the importance of hearing to function correctly in our world and, more importantly, as an essential tool for learning. Published via Towards AI

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The Design Shift: Building Applications in the Era of Large Language Models

Towards AI

Last Updated on March 17, 2024 by Editorial Team Author(s): Jun Li Originally published on Towards AI. Photo by Martin Martz on Unsplash A new trend has recently reshaped our approach to building software applications: the rise of large language models (LLMs) and their integration into software development.

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ODSC’s AI Weekly Recap: Week of December 15th

ODSC - Open Data Science

ODSC Recap: UC Berkeley Unveils an Open LLM Starling-7B Trained Using Reinforcement Learning from AI Feedback In a new report, UC Berkeley researchers have introduced Starling-7B, a revolutionary large language model crafted using Reinforcement Learning from AI Feedback or RLAIF. Sign up for our brand-new AI Weekly Recap newsletter!

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