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LLMs Are Dumber Than a House Cat. Can they replace you anyway? | by Nabil Alouani | Jan, 2024

Not to pick on Sebastian Bubeck in particular, but if auto-complete-on-steroid can “blow his mind,” imagine the effects on the average user. Developers and data practitioners use LLMs every day to generate code, synthetic data, and documentation. They too can be misled by inflated capabilities. It’s when humans over-trust their tools that mistakes happen. TL;DR:…

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Researchers from the University of Tubingen Propose SIGNeRF: A Novel AI Approach for Fast and Controllable NeRF Scene Editing and Scene-Integrated Object Generation

Neural Radiance Fields (NeRF) have revolutionized how everyone approaches 3D content creation, offering unparalleled realism in virtual and augmented reality applications. However, editing these scenes has been complex and cumbersome, often requiring intricate processes and yielding inconsistent results. The current landscape of NeRF scene editing involves a range of methods that, while effective in certain…

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Moving Earth, Word, and Concept. Distance as a measure of difference | by Danielle Boccelli | Jan, 2024

Photo by Nadine Shaabana on UnsplashDistance as a measure of difference This article discusses three measures of distance: (1) the Earth Mover’s Distance (EMD; Rubner et al., 1998); (2) the Word Mover’s Distance (WMD; Kusner et al., 2015); and (3) the Concept Mover’s Distance (CMD; Stoltz & Taylor, 2019). These measures build on one another…

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This AI Paper from Victoria University of Wellington and NVIDIA Unveils TrailBlazer: A Novel AI Approach to Simplify Video Synthesis Using Bounding Boxes

Advancements in generative models for text-to-image (T2I) have been dramatic. Recently, text-to-video (T2V) systems have made significant strides, enabling the automatic generation of videos based on textual prompt descriptions. One primary challenge in video synthesis is the extensive memory and training data required. Methods based on the pre-trained Stable Diffusion (SD) model have been proposed…

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