🧠 Understanding BLIP (in English!) 🔍 It learned even from messy web data, and now it knows how to describe images all on its own! Paper: BLIP: Bootstrapping Language-Image Pre-training for Un...

🧠 Understanding FG-CLIP (in English) 🔍 A more precise and detailed evolution of CLIP! Paper: FG-CLIP: Fine-Grained Visual and Textual Alignment Conference: ICML 2025 (Xie, Chunyu, et al.) Cod...

🦖 FG-CLIP Practice!! FG-CLIP : Fine-Grained Visual and Textual Alignment Today, we’ll walk through a hands-on session with the hot new model from ICML 2025: FG-CLIP! 🧱 1. Clone the FG-CLIP ...

🧠 LoRA: Low-Rank Fine-Tuning for Large Language Models 🔍 Lightweight and Fast! A New Paradigm for Efficient Fine-Tuning Paper: LoRA: Low-Rank Adaptation of Large Language Models Conference: I...

🦖 (English) SEEM Model Practice!! SEEM: Segment Everything Everywhere All At Once We previously introduced SEEM in this post. This time, we’ll go through a hands-on tutorial using the SEEM mod...

🧠 SEEM: Segment Everything Everywhere All at Once 🔍 A universal segmentation model that handles text, clicks, boxes, and more via multimodal prompts. Paper: SEEM: Segment Everything Everywhe...

🦖 Grounding DINO 1.5 Practice!! Previously with groundingDINO, we were able to perform object detection using flexible prompts like sentences or words. Today, we’ll practice with the next version...

🧠 (English) LISA: A New Frontier in Reasoning-Based Segmentation 🔍 An innovative model that understands complex linguistic instructions and segments the corresponding regions in an image! Pa...

🦖 (English) Reasoning Segmentation LLM LISA Practice!! LISA, isn’t the name lovely!? It stands for Large Language Instructed Segmentation Assistant! This post is about hands-on practice with L...

💹 (English) Investing Speaks in Numbers Too Reading *Why Stocks Go Up and Down* 📖 Book Title: Why Stocks Go Up and Down ✍️ Author: William H. Pike 🎯 Recommended For: Anyone wanting to build a so...