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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…

Table of Contents TF-IDF vs. Embeddings: From Keywords to Semantic Search Series Preamble: From Text to RAG What You’ll Build Across the Series Project Structure Why Start with Embeddings The Problem with Keyword Search When “Different Words” Mean the Same…

Table of Contents Advanced SAM 3: Multi-Modal Prompting and Interactive Segmentation Configuring Your Development Environment Setup and Imports Loading the SAM 3 Model Downloading a Few Images Multi-Text Prompts on a Single Image Batched Inference Using Multiple Text Prompts Across…

Table of Contents SAM 3: Concept-Based Visual Understanding and Segmentation The Evolution of Segment Anything: From Geometry to Concepts Core Model Architecture and Technical Components The Perception Encoder (PE) and Vision Backbone The Open-Vocabulary Text and Exemplar Encoders The DETR-Based…

Table of Contents Grounded SAM 2: From Open-Set Detection to Segmentation and Tracking Why Segmentation Matters (Beyond Bounding Boxes) Introducing Grounded SAM 2 Where SAM Fits in the Pipeline Why SAM 2 (and not SAM) How Grounded SAM 2 Works…