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Latest posts
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YOLO26 Object Detection Tutorial: Benchmarking on macOS
Table of Contents YOLO26 Object Detection Tutorial: Benchmarking on macOS What Is YOLO26? Why YOLO26 Matters for Real-Time Object Detection What Changed in the Ultralytics YOLO26 Architecture Configuring Your Development Environment Project Structure Installing the Ultralytics…
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Toward DeepSeek-R1: Building Thinking Models Using GRPO
Table of Contents Toward DeepSeek-R1: Building Thinking Models Using GRPO How Group Relative Policy Optimization (GRPO) Works Core GRPO Objective Group Relative Advantage Estimation Clipped Surrogate Objective KL Divergence Regularization Why GRPO Excels in Mathematical…
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DeepSeek-V3 from Scratch: Implementing the DeepSeek Trainer
Table of Contents DeepSeek-V3 from Scratch: Implementing the DeepSeek Trainer Training Infrastructure with Hugging Face Trainer Implementation: Custom Trainer and Data Handling Training Configuration Data Preparation: TinyStories Dataset Training DeepSeek-V3 from Scratch and…
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DeepSeek-V3 from Scratch: Building the Architecture in PyTorch
Table of Contents DeepSeek-V3 from Scratch: Building the Architecture in PyTorch The Transformer Block: Combining MLA and MoE The Complete Model: From Tokens to Logits Weight Tying: Sharing Token Embeddings and Output Weights Multi-Token Prediction Integration Implementing the…
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Fine-Tuning Gemma 4 with QLoRA for Tool-Aware Support Agents
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…
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Fine-Tuning Gemma 4 with QLoRA for Customer Support
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……
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DVC Pipelines for MLOps: Build a Reproducible ML Pipeline
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……
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DVC for MLOps: Versioning Your Data and Models the Right Way
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… The post DVC for MLOps:…
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Train YOLO26 on a Custom Dataset with YOLOE-26 Auto-Labeling
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…