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Meet Mistral Trismegistus 7B: An Instruction Dataset on the Esoteric, Spiritual, Occult, Wisdom Traditions…
Mistral Trismegistus-7B is a Google AI language model trained on a vast dataset of literature and code, including esoteric and occult material. It can generate literature, translate languages, and provide insightful answers to questions on esoteric matters. It operates quickly and is grounded in reality, making it a valuable tool for those interested in the…
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Unraveling Gene Regulation with Deep Learning: A New AI Approach to Understanding Alternative Splicing
This research paper introduces a novel deep learning model to address the challenge of understanding alternative splicing in genes. The model combines sequence information, structural features, and wobble pair indicators to accurately predict splicing outcomes. Its interpretability, achieved through a carefully designed training process and the Tuner function, sets it apart from traditional methods. Researchers…
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Project Green Light uses AI to reduce vehicle emissions
Google’s Project Green Light utilizes artificial intelligence (AI) to optimize traffic light patterns and reduce greenhouse emissions. By analyzing driving pattern data from Google Maps, the project builds an AI model for each intersection, enabling traffic engineers to make adjustments and potentially reduce stops by up to 30% and emissions by up to 10%. The…
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Researchers from Stanford University Propose MLAgentBench: A Suite of Machine Learning Tasks for Benchmarking AI Research Agents
Stanford University researchers have introduced MLAgentBench, the first benchmark of its kind, to evaluate AI research agents with free-form decision-making capabilities. The framework allows agents to execute research tasks similar to human researchers, collecting data on proficiency, reasoning and research process, and efficiency. The team is working to expand the task collection to include various…
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GPT-4 can solve math problems — but not in all languages
GPT-4 was tested in various experiments to solve math problems in 16 different languages.
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UCSD and ByteDance Researchers Present ActorsNeRF: A Novel Animatable Human Actor NeRF Model that Generalizes to Unseen Actors in a Few-Shot Setting
Neural Radiance Fields (NeRF) is a neural network-based technique for capturing 3D scenes and objects from 2D images or sparse 3D data. It consists of two main components, “NeRF in” and “NeRF out” network. NeRF-based human representations have applications in gaming, virtual reality, animation, film production, and medical imaging. ActorsNeRF is a category-level human actor…
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Support Vector Machine with Scikit-Learn: A Friendly Introduction
Learn how to master SVM, a versatile model that every data scientist should have in their toolbox. Get a hands-on introduction to SVM in this informative article on Towards Data Science.
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Neural Basis Models for Interpretability
The text discusses the introduction of a new interpretable model by Meta AI, with further information available in the article on Towards Data Science.
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Google Researchers Introduce An Open-Source Library in JAX for Deep Learning on Spherical Surfaces
Researchers have developed an open-source library in JAX for deep learning on spherical surfaces. This new approach, utilizing spherical convolution and cross-correlation operations, shows promise in addressing challenges related to predicting chemical properties and understanding climate states. The models outperform traditional CNNs in weather forecasting benchmarks and exhibit exceptional performance across various scenarios. The study…
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Meet Mistral-7B-v0.1: A New Large Language Model on the Block
Mistral-7B-v0.1 is a cutting-edge large language model (LLM) developed by Mistral AI. With 7 billion parameters, it is one of the most powerful LLMs available. This transformer model excels in natural language processing tasks such as generating text, translating languages, and answering questions. It performs well on benchmarks like GLUE, SQuAD, and SuperGLUE. Mistral-7B-v0.1 has…