Tutorials

Step-by-step practical tutorials on artificial intelligence

5 articles

Tokens, Embeddings, and Vectors: Key Concepts Every AI Developer Should Know

Tokens, embeddings, and vectors are the technical foundation of how modern LLMs work. A clear explanation with code examples so you finally understand them once and for all.

Bitexoft · 10 min

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Tutorial

How to Build an AI Automation Pipeline with n8n and Language Models

n8n is the open source alternative to Zapier that lets you integrate AI models into real automation workflows. A practical guide to building your first pipeline from scratch.

Bitexoft · 11 min

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Tutorial

RAG Explained: How to Connect Your Own Documents to an LLM

RAG lets an LLM answer questions about your own documents without retraining it. A clear explanation of how it works and a functional Python implementation you can build on.

Bitexoft · 11 min

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Tutorial

How to Use the OpenAI API with Python: A Step-by-Step Guide for Beginners

A practical guide to making your first OpenAI API call with Python, understanding the key parameters, and building a solid foundation for your AI projects.

Bitexoft · 10 min

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Tutorial

How to Write Effective Prompts for ChatGPT and Claude (Practical Guide with Real Examples)

Most users get mediocre results from AI models because their prompts are vague. This guide covers the techniques that actually work, with before/after examples you can apply immediately.

Bitexoft · 9 min

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