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Meta AI Researchers Introduce GenBench: A Revolutionary Framework for Advancing Generalization in Natural Language Processing

Marktechpost

A model’s capacity to generalize or effectively apply its learned knowledge to new contexts is essential to the ongoing success of Natural Language Processing (NLP). Having the taxonomy in place makes it easier to get good generalizations, which further fosters the growth of Natural Language Processing.

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Can AI Really Understand Sarcasm? This Paper from NYU Explores Advanced Models in Natural Language Processing

Marktechpost

Natural Language Processing (NLP) is useful in many fields, bringing about transformative communication, information processing, and decision-making changes. The post Can AI Really Understand Sarcasm? This Paper from NYU Explores Advanced Models in Natural Language Processing appeared first on MarkTechPost.

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Meet DeepOnto: A Python Package for Ontology Engineering with Deep Learning

Marktechpost

Advances in Deep Learning Methodologies are greatly impacting the Artificial Intelligence community. Deep Learning techniques are being widely used in almost every industry, be it healthcare, social media, engineering, finance, or education.

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Keeping an AI on Quakes: Researchers Unveil Deep Learning Model to Improve Forecasts

NVIDIA

Researchers from the Universities of California at Berkeley and Santa Cruz, and the Technical University of Munich recently released a paper describing a new model that delivers deep learning to earthquake forecasting. Enhanced data is meanwhile helping to fill the void. And you can see that going in the right direction.”

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AI News Weekly - Issue #345: Hollywood’s Major Crew Union Debates How to Use AI as Contract Talks Loom - Aug 10th 2023

AI Weekly

Powered by clkmg.com In the News Deepset nabs $30M to speed up natural language processing projects Deepset GmbH today announced that it has raised $30 million to enhance its open-source Haystack framework, which helps developers build natural language processing applications. 1.41%) (BRK.B

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Do Language Models Know When They Are Hallucinating? This AI Research from Microsoft and Columbia University Explores Detecting Hallucinations with the Creation of Probes

Marktechpost

Large Language Models (LLMs), the latest innovation of Artificial Intelligence (AI), use deep learning techniques to produce human-like text and perform various Natural Language Processing (NLP) and Natural Language Generation (NLG) tasks.

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Commonsense Reasoning for Natural Language Processing

Probably Approximately a Scientific Blog

In the last 5 years, popular media has made it seem that AI is nearly if not already solved by deep learning, with reports on super-human performance on speech recognition, image captioning, and object recognition. Figure 1: adversarial examples in computer vision (left) and natural language processing tasks (right).