Understand large language models inside out. Technical deep dives into architectures, training, fine-tuning, and how modern AI actually works.
10 articles
Understand how ChatGPT actually works under the hood. We explain transformer architecture, attention mechanisms, and AI text generation—no PhD required.
Understand embeddings in AI—what they are, how they capture meaning, and how to use them for search, RAG, and similarity applications. Clear explanations with practical examples.
Discover how multimodal AI models like GPT-5 Vision, Claude 4, and Gemini 3 understand images, audio, and video alongside text. Learn how they work and what you can do with them.
Learn what large language models (LLMs) are in plain English. Understand how ChatGPT, Claude, and Gemini work—no technical background required. Updated 2026.
What are tokens in AI? Learn how ChatGPT and other LLMs break down text, why tokens affect pricing, and how to optimize your usage. Complete guide for 2026.
A practical guide to understanding AI benchmarks like MMLU, MT-Bench, and Chatbot Arena. Learn which benchmarks matter, how to interpret rankings, and why scores don't tell the whole story.
Understand temperature and top-p settings in AI models. Learn what these parameters do, how they interact, and exactly what settings to use for different tasks.
What is a context window in AI? Learn how ChatGPT, Claude, and Gemini handle memory, why tokens matter, and how to work within AI's limits. 2026 guide.
Understand how reasoning AI models like GPT-5.2 Thinking and Claude 4 use chain-of-thought to solve complex problems. Learn when to use them and how they differ from standard LLMs.
A comprehensive guide to all major large language model families. From GPT to Claude to Llama, understand the evolution and relationships of AI models.