Articles

Discover expert insights and detailed guides in the field of articles for LLM Utils.

Why a 1M token context window doesn't mean the model remembers everything you tell it.

Demystifying vector embeddings — what they are, how they work, and why semantic search actually works.

The infrastructure, compute, and economics behind why frontier models cost what they do.

How a simple text file became the standard way to tell AI models what your site is about.

The asymmetric pricing of LLM APIs — and the hidden cost of verbose responses.

How better prompts don't just improve outputs — they dramatically reduce your API bills.

When simple cosine similarity is enough — and when you actually need specialized infrastructure.

The architectural and business reasons behind Anthropic's pricing strategy — and when it's worth it.

The fastest, cheapest frontier model that most developers are sleeping on.

The fundamental reason language models measure text in tokens — and why that matters for your API costs.