Tutorial

Table of Contents FastAPI for MLOps: Python Project Structure and API Best Practices Introduction What You Will Build and Learn Why Software Engineering Comes First in MLOps Best Practices Where This Fits in the Overall Curriculum Python Project Structure Best…

Table of Contents Agentic AI Vision System: Object Segmentation with SAM 3 and Qwen Why Agentic AI Outperforms Traditional Vision Pipelines Why Agentic AI Improves Computer Vision and Segmentation Tasks What We Will Build: An Agentic AI Vision and Segmentation…

Table of Contents Autoregressive Model Limits and Multi-Token Prediction in DeepSeek-V3 Why Next-Token Prediction Limits DeepSeek-V3 Multi-Token Prediction in DeepSeek-V3: Predicting Multiple Tokens Ahead DeepSeek-V3 Architecture: Multi-Token Prediction Heads Explained Gradient Insights for Multi-Token Prediction in DeepSeek-V3 DeepSeek-V3 Training vs.…

Table of Contents DeepSeek-V3 from Scratch: Mixture of Experts (MoE) The Scaling Challenge in Neural Networks Mixture of Experts (MoE): Mathematical Foundation and Routing Mechanism SwiGLU Activation in DeepSeek-V3: Improving MoE Non-Linearity Shared Expert in DeepSeek-V3: Universal Processing in MoE…

Table of Contents Build DeepSeek-V3: Multi-Head Latent Attention (MLA) Architecture The KV Cache Memory Problem in DeepSeek-V3 Multi-Head Latent Attention (MLA): KV Cache Compression with Low-Rank Projections Query Compression and Rotary Positional Embeddings (RoPE) Integration Attention Computation with Multi-Head Latent…

Table of Contents DeepSeek-V3 Model: Theory, Config, and Rotary Positional Embeddings Introduction to the DeepSeek-V3 Model The Four Pillars of DeepSeek-V3 What You Will Build Prerequisites and Setup for Building the DeepSeek-V3 Model Implementing DeepSeek-V3 Model Configuration and RoPE DeepSeek-V3…

Table of Contents SAM 3 for Video: Concept-Aware Segmentation and Object Tracking Configuring Your Development Environment Setup and Imports Text-Prompt Video Tracking Load the SAM3 Video Model Helper Function: Visualizing Video Segmentation Masks, Bounding Boxes, and Tracking IDs Main Pipeline:…

Table of Contents Vector Search Using Ollama for Retrieval-Augmented Generation (RAG) How Vector Search Powers Retrieval-Augmented Generation (RAG) From Search to Context The Flow of Meaning Putting It All Together What Is Retrieval-Augmented Generation (RAG)? The Retrieve-Read-Generate Architecture Explained Why…

Table of Contents Vector Search with FAISS: Approximate Nearest Neighbor (ANN) Explained From Exact to Approximate: Why Indexing Matters The Trouble with Brute-Force Search The Curse of Dimensionality Enter the Approximate Nearest Neighbor (ANN) Accuracy vs. Latency: The Core Trade-Off…