…
admin
One of the major hurdles in AI-driven image modeling is the inability to account for the diversity in image content complexity effectively. The tokenization methods so far used are static compression ratios where all images are treated equally, and the complexities of images are not considered. Due to this reason, complex images get over-compressed and…
Data Science Explore the power of regex and save time in data analysis Image created by Author using Meta AIData is rarely clean and never in the required structure!! Whether you are starting with data science or are an experienced professional — You won’t deny the above statement! In a data analyst’s career extracting actionable…
Latent diffusion models are advanced techniques for generating high-resolution images by compressing visual data into a latent space using visual tokenizers. These tokenizers reduce computational demands while retaining essential details. However, such models suffer from a critical challenge: increasing the dimensions of the token feature increases reconstruction quality but decreases image generation quality. It thus…
Polynomial Fit in Python with NumPy Ball Tracking and Trajectory PredictionIn a previous project I visualized the trajectory of a ball that I threw vertically into the air with a real-time position, velocity and acceleration plot. Extending upon this project, I wanted to calculate and visualize a trajectory prediction based on a simple physics model.…
Vision Transformers (ViTs) have become a cornerstone in computer vision, offering strong performance and adaptability. However, their large size and computational demands create challenges, particularly for deployment on devices with limited resources. Models like FLUX Vision Transformers, with billions of parameters, require substantial storage and memory, making them impractical for many use cases. These limitations…
Acknowledgements Genie 2 was led by Jack Parker-Holder with technical leadership by Stephen Spencer, with key contributions from Philip Ball, Jake Bruce, Vibhavari Dasagi, Kristian Holsheimer, Christos Kaplanis, Alexandre Moufarek, Guy Scully, Jeremy Shar, Jimmy Shi and Jessica Yung, and contributions from Michael Dennis, Sultan Kenjeyev and Shangbang Long. Yusuf Aytar, Jeff Clune, Sander Dieleman,…
Using Qwen2.5–7B-Instruct powered code agents to create a local, open source, multi-agentic RAG system Photo by Jaredd Craig on UnsplashLarge Language Models have shown impressive capabilities and they are still undergoing steady improvements with each new generation of models released. Applications such as chatbots and summarisation can directly exploit the language proficiency of LLMs as…
Automation has revolutionized the way finance teams operate, with accounts payable (AP) automation being the go-to first step for businesses looking to improve efficiency and cut costs. Companies like Nanonets and Centime have made AP processes smarter, faster, and more streamlined through cutting-edge technology, while also paving the way for more comprehensive financial solutions. But…