Large Language Models (LLMs) have demonstrated remarkable potential in performing complex tasks by building intelligent agents. As individuals increasingly engage with the digital world, these models serve as virtual embodied interfaces for a wide range of daily activities. The emerging field of GUI automation aims to develop intelligent agents that can significantly streamline human workflows…
Concerns about the environmental impacts of Large Language Models (LLMs) are growing. Although detailed information about the actual costs of LLMs can be difficult to find, let’s attempt to gather some facts to understand the scale. Generated with ChatGPT-4oSince comprehensive data on ChatGPT-4 is not readily available, we can consider Llama 3.1 405B as an…
Diffusion models have pulled ahead of others in text-to-image generation. With continuous research in this field over the past year, we can now generate high-resolution, realistic images that are indistinguishable from authentic images. However, with the increasing quality of the hyperrealistic images model, parameters are also escalating, and this trend results in high training and…
AI is revolutionizing the landscape of scientific research, enabling advancements at a pace that was once unimaginable — from accelerating drug discovery to designing new materials for clean energy technologies. The AI for Science Forum — co-hosted by Google DeepMind and the Royal Society — brought together the scientific community, policymakers, and industry leaders to…
Understand missing data patterns (MCAR, MNAR, MAR) for better model performance with Missingno In an ideal world, we would like to work with datasets that are clean, complete and accurate. However, real-world data rarely meets our expectation. We often encounter datasets with noise, inconsistencies, outliers and missingness, which requires careful handling to get effective results.…
Recent advancements in video generation models have enabled the production of high-quality, realistic video clips. However, these models face challenges in scaling for large-scale, real-world applications due to the computational demands required for training and inference. Current commercial models like Sora, Runway Gen-3, and Movie Gen demand extensive resources, including thousands of GPUs and millions…
Quantum computers have the potential to revolutionize drug discovery, material design and fundamental physics — that is, if we can get them to work reliably. Certain problems, which would take a conventional computer billions of years to solve, would take a quantum computer just hours. However, these new processors are more prone to noise than…