Articles
Discover expert insights and detailed guides in the field of articles for LLM Utils.
Context Window Is Not Memory
Why a 1M token context window doesn't mean the model remembers everything you tell it.
Read Full GuideEmbeddings Are Just Coordinates
Demystifying vector embeddings — what they are, how they work, and why semantic search actually works.
Read Full GuideGPT-4 Is Expensive for a Reason
The infrastructure, compute, and economics behind why frontier models cost what they do.
Read Full Guidellms.txt Is Metadata for Models
How a simple text file became the standard way to tell AI models what your site is about.
Read Full GuideOutput Tokens Cost 4x More Than Input
The asymmetric pricing of LLM APIs — and the hidden cost of verbose responses.
Read Full GuidePrompt Engineering Is Cost Engineering
How better prompts don't just improve outputs — they dramatically reduce your API bills.
Read Full GuideYou Don't Need a Vector Database
When simple cosine similarity is enough — and when you actually need specialized infrastructure.
Read Full GuideWhy Claude Costs More Than GPT
The architectural and business reasons behind Anthropic's pricing strategy — and when it's worth it.
Read Full GuideWhy Gemini Flash Is Underrated
The fastest, cheapest frontier model that most developers are sleeping on.
Read Full GuideWhy LLMs Count Tokens, Not Words
The fundamental reason language models measure text in tokens — and why that matters for your API costs.
Read Full Guide