Table of Contents Fine-Tuning Gemma 4 with QLoRA for Customer Support Why Not Fine-Tune the Entire Model? Understanding LoRA Understanding QLoRA What We Will Build Configuring Your Development Environment Setup and Imports Supervised Fine-Tuning Gemma 4 on the Bitext Customer…

Table of Contents Running Gemma 4 in the Browser with Transformers.js and WebGPU Building a Browser-Based Gemma 4 AI Application Creating the HTML Document and Styling the Interface Creating the Application Layout Loading Transformers.js for Browser-Based Gemma 4 Inference Checking…

Table of Contents Building Multimodal AI Applications with Gemma 4 and Transformers Configuring Your Development Environment Installing Python Dependencies and Importing Gemma 4 Multimodal Libraries Loading the Gemma 4 Multimodal Model with Hugging Face Transformers Screenshot-to-Code Generation with Gemma 4…

Table of Contents Grounding DINO: Open Vocabulary Object Detection on Videos Why Language Makes Open-Set Detection Possible GLIP: Grounded Language-Image Pre-Training The DINO Detector (Closed-Set DETR) Grounding DINO Architecture Feature Enhancer (Neck Fusion) and Cross-Attention: The Teacher’s Guidance Language-Guided Query…

Table of Contents Running SmolVLM Locally in Your Browser with Transformers.js Introduction SmolVLM: A Small But Capable Vision-Language Model Transformers.js: Hugging Face Runtime for the Web Why This Pair Is Powerful (and Practical Caveats) Configuring Your Development Environment What Are…

Table of Contents Preparing the BLIP Backend for Deployment with Redis Caching and FastAPI Introduction What We’re Building in This Lesson Why Redis Caching Matters for Inference What Is Caching? What Is Redis? Configuring Your Development Environment Running a Local…

Table of Contents Meet BLIP: The Vision-Language Model Powering Image Captioning What Is Image Captioning and Why Is It Challenging? Why It’s Challenging Why Traditional Vision Tasks Aren’t Enough Configuring Your Development Environment A Brief History of Image Captioning Models…

Table of Contents Synthetic Data Generation Using the BLIP and PaliGemma Models Why VLM-as-Judge and Synthetic VQA Configuring Your Development Environment Set Up and Imports Download Images Locally Inference with the Salesforce BLIP Model Convert JSON File to the Hugging…

Table of Contents SmolVLM to SmolVLM2: Compact Models for Multi-Image VQA SmolVLM 1: A Compact Yet Capable Vision-Language Model What Is SmolVLM? Why SmolVLM? The Three Variants of SmolVLM Architecture Overview Vision Encoder: SigLIP Variants Pixel Shuffle (Space-to-Depth) for Image…