Skip to content

LLM (Large Language Model)

A neural network trained on massive text that predicts the next token, powering chat, writing, coding, and more.

Examples include GPT, Claude, Gemini, and open-weight models like Llama and Qwen. You typically use an LLM through an API or by running an open model locally with Ollama.

Related resources

The Complete OpenAI API Guide
A comprehensive, step-by-step guide to the OpenAI API ecosystem, covering GPT, DALL·E, and Whisper models in depth. It walks you through account setup, authentication, making your first API call, prompt design patterns, and cost optimisation strategies—ideal for developers new to the OpenAI platform who want a structured learning path.
Deploying Local LLMs with Ollama
A cross-platform tool that lets you download and run open-source LLMs like Llama, Mistral, and Phi locally on your own machine. It provides a CLI, a local API server, and an OpenAI-compatible endpoint, so you can experiment with models privately — no GPU or cloud account required. Ideal for developers who want offline AI capabilities or need to test prompts before deploying to production.