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Medical image segmentation plays a role in modern healthcare, focusing on precisely identifying and delineating anatomical structures within medical scans. This process is fundamental for accurate…
Artificial intelligence (AI) applications have become increasingly complex, often involving multiple interconnected tasks and components. These systems can include elements such as data loaders, language models,…
Kolmogorov-Arnold Networks (KANs) have emerged as a promising alternative to traditional Multi-Layer Perceptrons (MLPs). Inspired by the Kolmogorov-Arnold representation theorem, these networks utilize neurons that perform…
Inspired by Andrej Kapathy’s recent youtube video on Let’s reproduce GPT-2 (124M), I’d like to rebuild it with most of the training optimizations in Jax. Jax…
Multimodal artificial intelligence focuses on developing models capable of processing and integrating diverse data types, such as text and images. These models are essential for answering…
Adding evaluation, automated data pulling, and other improvements.From Film Search to Rosebud 🌹. Image from Unsplash.Table of ContentsIntroductionOffline EvaluationOnline EvaluationAutomated Data Pulling with PrefectSummaryRelevant LinksA few…
29 min read·16 hours agoSource: GPT-4oTL;DRIn the humanitarian response world there can be tens of thousands of tabular (CSV and Excel) datasets, many of which contain…
Video captioning has become increasingly important for content understanding, retrieval, and training foundation models for video-related tasks. Despite its importance, generating accurate, detailed, and descriptive video…
Deep learning has become a powerful tool for classifying pathological voices, particularly in the GRBAS (Grade, Roughness, Breathiness, Asthenia, Strain) scale assessment. The GRBAS scale is…
The ability to turn ideas into software products is a great skill to learn. In this blog, I will describe what it takes, and how to…