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UK creative industries are wary about tax breaks for AI-related activities
Recent economic policies in the UK, particularly the “full expensing” tax break, have raised concerns among leaders in the film, publishing, and music sectors. They are worried that these policies could lead to machines replacing humans and redirecting funds to foreign tech companies. Additionally, there is a debate about the use of intellectual property in…
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How To Train Your LLM Efficiently? Best Practices for Small-Scale Implementation
Large Language Models (LLMs) are valuable assets, but training them can be challenging. Efficient training methods focus on data and model efficiency. Data efficiency can be achieved through data filtering and curriculum learning. Model efficiency involves designing the right architecture and using techniques like weight sharing and model compression. Pre-training and fine-tuning are common training…
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Researchers from the University of Chicago Introduce 3D Paintbrush: A AI Method for Generating Local Stylized Textures on Meshes Using Text as Input
Researchers from the University of Chicago and Snap Research have developed a 3D paintbrush that can automatically texture local semantic regions on meshes using text descriptions. The method produces texture maps that seamlessly integrate into standard graphics pipelines. The team also developed a technique called cascaded score distillation (CSD) to enhance details and resolution. The…
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Meet PhysGaussian: An Artificial Intelligence Technique that Produces High-Quality Novel Motion Synthesis by Integrating Physically Grounded Newtonian Dynamics into 3D Gaussians
Recent advances in Neural Radiance Fields (NeRFs) have demonstrated advancements in 3D graphics and perception. The 3D Gaussian Splatting (GS) framework has further enhanced these improvements. However, more applications are needed to create new dynamics. A research team has developed PhysGaussian, a physics-integrated 3D Gaussian method that allows for realistic generative dynamics in various materials.…
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Inflection Introduces Inflection-2: The Best AI Model in the World for Its Compute Class and the Second Most Capable LLM in the World Today
Inflection AI has developed Inflection-2, a highly capable language model that aims to outperform existing solutions such as those from Google and Meta. The model excels in common sense and mathematical reasoning, showcasing its abilities in these domains despite not being its main focus during training. Inflection-2 has outperformed Google and Meta’s models in benchmark…
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Stanford Researchers Introduce BLASTNet: The First Large Machine Learning Dataset for Fundamental Fluid Dynamics
Stanford researchers have developed BLASTNet-2, a revolutionary dataset that aims to advance the understanding and application of fluid dynamics in various fields. With five terabytes of data derived from over 30 different configurations, BLASTNet-2 offers a centralized platform for fluid dynamics data and promotes interdisciplinary collaborations. It has potential applications in areas such as renewable…
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UC Berkeley Researchers Propose CRATE: A Novel White-Box Transformer for Efficient Data Compression and Sparsification in Deep Learning
Researchers from UC Berkeley, Toyota Technological Institute at Chicago, ShanghaiTech University, and other institutions propose a new deep network design called CRATE, which stands for “coding-rate” transformer. CRATE aims to bridge the gap between theory and practice in deep learning by providing a white-box architecture that is interpretable and performs well on various learning tasks.…
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Meta Research Introduce System 2 Attention (S2A): An AI Technique that Enables an LLM to Decide on the Important Parts of the Input Context in Order to Generate Good Responses
Researchers from Meta have introduced a new approach called System 2 Attention (S2A) to improve the reasoning capabilities of Large Language Models (LLMs). LLMs often make simple mistakes due to weak reasoning and sycophancy. S2A mitigates these issues by identifying and extracting relevant parts of the input context. It also improves factuality, objectivity, and performance…
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Prompt Engineering is One Of The Top Career Choice Right Now
The rise of AI has created new career opportunities, such as prompt engineering. Prompt engineers specialize in crafting text-based prompts for AI systems to ensure accurate responses. This field is experiencing job growth and offers competitive salaries, with over 7,000 jobs requiring generative AI expertise in the US alone. Technical, linguistic, and analytical skills are…
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Check Out This New AI System Called Student of Games (SoG) that is capable of both Beating Humans at a Variety of Games and Learning to Play New Ones
Student of Games (SoG) is a general-purpose algorithm developed by EquiLibre Technologies, Sony AI, Amii, Midjourney, and Google’s DeepMind project. It combines search, learning, and game-theoretic reasoning to achieve high performance in both perfect and imperfect information games. SoG demonstrates the potential for creating artificial general intelligence by teaching computers to master a wide range…