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Table of Contents Fine-Tuning Gemma 4 with QLoRA for Tool-Aware Support Agents From Customer Support Chatbot to Tool-Calling AI Agent Synthesizing Tool-Calling Training Data Why Use Synthetic Tool-Call Trajectories? What We Will Build Configuring Your Development Environment Setup and Imports…

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 DVC Pipelines for MLOps: Build a Reproducible ML Pipeline Introduction Project Setup Understanding the Pipeline Architecture Stage 1: Dataset Preprocessing Stage 2: Model Training and Versioning with DVC Stage 3: Model Evaluation and Metrics Tracking with DVC…

Table of Contents DVC for MLOps: Versioning Your Data and Models the Right Way DVC for MLOps: Data and Model Versioning Explained Project Setup Dataset Versioning with DVC Model Versioning with DVC Configuring DVC Remotes Using DVC Push and Pull…

Table of Contents Train YOLO26 on a Custom Dataset with YOLOE-26 Auto-Labeling Auto-Labeling a Custom Dataset for YOLO26 Object Detection Configuring Your Development Environment Project Structure Step 1: Define Custom Object Classes and Reference Images Step 2: Draw Visual Prompt…

Table of Contents YOLO26 Open-Vocabulary Object Detection with YOLOE-26 Understanding Closed-Set YOLO Object Detection Where YOLO Fits Among Object Detection Models Why Open-Vocabulary and Zero-Shot Object Detection Matter What YOLOE Introduced How YOLOE-26 Extends Open-Vocabulary Detection to YOLO26 How the…

Table of Contents Make a Chrome Extension to Digest Webpages with Manifest V3 and Groq API Meet the Project Configuring Your Development Environment Project Structure The Chrome Extension Mental Model Walking Through manifest.json Understanding popup.html Understanding styles.css Reading README.md the…

Table of Contents Scaling, Optimizing, and Exporting Transformers with PyTorch Lightning Introduction to Scaling PyTorch Lightning Transformer Training Configuring Your Development Environment Preparing PyTorch Lightning Models for Scalable Multi-GPU Training Revisiting the Code Architecture Enabling Mixed Precision Training with PyTorch…

Table of Contents Training with PyTorch Lightning: Structured MLOps Development Why PyTorch Lightning Improves Reproducible MLOps Training Pipelines Configuring Your Development Environment Project Structure PyTorch LightningDataModule Explained: Building Efficient Data Pipelines PyTorch LightningModule Explained: Building Modular Deep Learning Models Using…