LLMs & Model Architecture

In-depth guides on Large Language Models, token mechanics, context windows, Claude usage limits, RAG, and MCP. 18 articles

Articles

LLMs & Model Architecture4 October 20263 min read

LLM vs AI: Clarifying Concepts, Categories and Capabilities in 2026

Is all AI an LLM? Understand the critical differences between general Artificial Intelligence, classical machine learning, and modern Large Language Models.

LLMs & Model Architecture3 October 20262 min read

LLM vs Generative AI: Understanding the Key Differences in 2026

Is an LLM the same as Generative AI? Learn the crucial distinctions between Large Language Models, Generative AI, and broader machine learning categories.

LLMs & Model Architecture2 October 20263 min read

AI Model Parameters Explained: What Billions of Parameters Really Mean

What does '70 billion parameters' actually mean in an AI model? Learn what parameters represent, how they are tuned during training, and why more parameters isn't always better.

LLMs & Model Architecture1 October 20263 min read

Transformer Architecture Explained Simply for Non-Mathematicians

How did a 2017 research paper launch the generative AI revolution? Here is a clear, visual explanation of the Transformer architecture without complex math.

LLMs & Model Architecture30 September 20263 min read

Prompt Tokens vs Output Tokens: Differences, Pricing and Limits

Why do output tokens cost 4x more than prompt tokens? We break down the technical differences between input and output tokens, generation mechanics, and API billing.

LLMs & Model Architecture29 September 20263 min read

AI Context Windows Explained: Input Size, Memory and Retrieval Limits

What is an AI context window? Learn how large context windows work, why bigger isn't always better, and how models like Claude and Gemini handle huge documents.

LLMs & Model Architecture28 September 20263 min read

How AI Tokens Work: BPE Tokenization, Calculation and Practical Rules

A deep dive into Byte-Pair Encoding (BPE) and tokenization algorithms. Learn how tokenizers split text, handle whitespace, and impact LLM performance.

LLMs & Model Architecture27 September 20263 min read

What Are Tokens in AI? How Tokens Work, Are Calculated & Costed in 2026

Tokens are the fundamental currency of Large Language Models. Learn how words become tokens, why code uses more tokens than prose, and how token billing works.

LLMs & Model Architecture26 September 20263 min read

How Does an LLM Work? The Math, Attention, and Architecture Explained

Look under the hood of Large Language Models. Learn how embeddings, self-attention, matrix multiplication, and temperature sampling turn prompts into intelligent text.