PinnedYuki ShizuyainIntuitionUnderstanding L1 and L2 regularization with analytical and probabilistic viewsDerive L1 and L2 regularization via analytical and probabilistic solutionMay 253May 253
Yuki ShizuyainGenerative AIUnlocking Mixture-of-Experts (MoE) LLM : Your MoE model can be embedding model for freeMixture-of-experts (MoE) LLM can be used as an embedding model for free.5d ago55d ago5
Yuki ShizuyainGenerative AIPixtral 12B is released : Novel SOTA Open-Source Multimodal Language ModelMistralAI team released Pixtral 12B, a novel open-source multimodal model that outperforms other open-source models. How does it works and…Oct 231Oct 231
Yuki ShizuyainTowards AIVision Embedding Comparison for Image Similarity Search: EfficientNet vs.What are the differences in embeddings among these models?Oct 124Oct 124
Yuki ShizuyainGenerative AIUnlocking the Diffusion Model Power!The introduction of a novel tuning-free style transfer method: InstantStyle. How can it work without additional fine-tuning, and how can it…Sep 292Sep 292
Yuki ShizuyainAI AdvancesNovel personalized image generation: InstantID — Theoretical Understanding and ApplicationsInstantID is a novel personalized image generation based on the diffusion model. This blog covers the theoretical understanding and how to…Sep 25Sep 25
Yuki ShizuyainAI AdvancesIntroduction of Multimodal Topic ModelingLearn how to implement multimodal topic modeling using CLIP and BLIP-2 with BERTopicSep 10Sep 10
Yuki ShizuyainAI AdvancesExplainable Clustering — The Introduction of Recursive Embedding and Clustering and its ApplicationSpotify developed the simple but powerful explainable clustering methodAug 232Aug 232
Yuki ShizuyainTowards AIExplainable AI for CLIP: The Architecture Explanation and its Application for Segment AnythingA detailed explanation of the effective activation map visualization technique for CLIP and its application for Segment AnythingAug 133Aug 133
Yuki ShizuyainIntuitionStatistics: Multivariate time series analysis — VMA, VAR, VARMAThe mathematical understanding of VMA, VAR, and VARMA and practical Python implementationAug 1Aug 1