Exploring the path to fast nearest neighbour search with Hierarchical Navigable Small Worlds 13 min read · 19 hours ago Image created by DALL·E 2 with the…
There has been a recent uptick in the development of general-purpose multimodal AI assistants capable of following visual and written directions, thanks to the remarkable success of Large Language Models…
In this short piece, I use public Wikipedia data, Python programming, and network analysis to extract and draw up a network of Oscar-winning actors and actresses. All images were created…
The intersection of artificial intelligence and creativity has witnessed an exceptional breakthrough in the form of text-to-image (T2I) diffusion models. These models, which convert textual descriptions into visually compelling images,…
Some of the struggles I face frequently as a data scientist Photo by ThisIsEngineering from Pexels: https://www.pexels.com/photo/female-software-engineer-coding-on-computer-3861972/Ostensibly, it may seem that being a data scientist is all sunshine and rainbows…
Deep learning has revolutionized view synthesis in computer vision, offering diverse approaches like NeRF and end-to-end style architectures. Traditionally, 3D modeling methods like voxels, point clouds, or meshes were employed.…
An end-to-end implementation of a Pytorch Transformer, in which we will cover key concepts such as self-attention, encoders, decoders, and much more. 17 min read · 18 hours…
Careers in data are not for everyone — you need patience to work with evolving business, security, and infrastructure requirements and a good amount of mental endurance to work with…
MoD-SLAM is a state-of-the-art method for Simultaneous Localization And Mapping (SLAM) systems. In SLAM systems, it is challenging to achieve real-time, accurate, and scalable dense mapping. To address these challenges,…
Choosing the model that works best for your data We’ll use the EU AI act as the data corpus for our embedding model comparison. Image by Dall-E 3.OpenAI recently released…