AI Tutorials

Learn what Langflow is, how to install it, and how to build simple and custom AI agent workflows using Python.

Learn what Chainlit is, how to install it, and how to run it to build interactive interfaces for LLM-powered applications.

A step-by-step guide to fine-tuning the state-of-the-art Phi-4 Reasoning model on the finance Q&A dataset in under 10 minutes.

Develop a multi-tool agent application using LangGraph, Tavily, Python tool, and Mistral AI API in the DataLab environment.

Learn what OpenAI's Codex is and how to use it inside ChatGPT to perform coding tasks on a GitHub repository.

Learn how to use Haystack's dataclasses, components, document store, generator, retriever, pipeline, tools, and agents to build an agentic workflow that will help you invoke multiple tools based on user queries.

AI-powered terminal built with Rust, designed to enhance developer productivity by combining intelligent command suggestions, reusable workflows, collaboration tools, and seamless customization.

Learn how to use the OpenAI O3 API for complex, multi-step problem-solving involving visual and textual input, and manage reasoning costs.

Learn how to use Qwen-Agent and Qwen3 to build a real-time webpage summarizer extension.

Learn how to use n8n to build AI agents that automate email processing and create a retrieval-augmented generation (RAG) agent for document question answering.

Learn how to use the Grok 3 API for tasks ranging from basic queries to advanced features like function calling and structured outputs.

Learn how to generate and edit images with the GPT-Image-1 API, including setup, parameter usage, and practical examples like masking and combining multiple images.