Author: marjavamitjava

🟦 1. What is a word embedding? Let’s say a model reads this sentence: “The cat sat on the mat.“ Each word like “cat”, “mat”, “sat” is turned into a vector — imagine this...

Large Language Models (LLMs) like OpenAI’s GPT, Google’s Gemini, or Meta’s LLaMA have become incredibly powerful at understanding and generating human-like text. But how do they actually work under the hood? What happens when...

The Model Context Protocol (MCP) allows language models to interface with tools and external systems in a structured, programmable way. If you’re building intelligent apps or agents that need dynamic tool invocation, MCP gives...

In this post, we dive into the mechanics of how a GPT-like transformer model predicts the next word in a sequence. We’ll walk through a simplified version with small vectors and matrices to understand...

Question: If a system has 100 million user-product interactions, and if each order is mapped toa vector of 768 dimensions, how much space will the system require to store all vectors?Answer: 100 million interactions...

Two core reasons why vector databases are fundamentally different from traditional relational databases. ✅ 1. Binary Search Doesn’t Scale to High Dimensions Traditional Indexing (Relational DBs): Problem in Vector Space: Hence, binary search, B-trees,...

🔷 What are Transformer Layers? Each layer in a Transformer is like a stage in a mental process — every stage helps a token (word) understand more about its meaning in the sentence. A...

Vector embeddings convert real-world content, like documents and images, into 1-D numericalrepresentations (arrays).These arrays have N values, representing N dimensions. They are called vectors and can becompared with each other efficiently.These vectors aren’t random...

In the rapidly evolving world of AI and large language models (LLMs), most people associate cutting-edge capabilities with cloud-based giants like OpenAI, Anthropic, and Google. However, a new tool called Ollama is shifting this...

In a modern AI-assisted development environment, the Model Context Protocol (MCP) facilitates interaction between tools like Cursor VSCode and a backend server written in ColdFusion. Let’s walk through how an MCP client initializes communication,...