AI Tutorials

Learn how to use OpenAI's Responses API to build AI applications with function calling, structured outputs, and built-in tools. A comprehensive guide for developers of all skill levels.

Learn about Runway Gen-4’s capabilities through practical examples, and how to work around its limitations by using image generation models from GPT-4o and Gemini.

Learn how to edit images using Gemini 2.0 Flash with practical examples and understand its strengths and limitations.

Learn how to use Vercel's v0 to generate UI components and web applications from natural language prompts, and how to integrate and deploy them.

Learn how to build a multi-agent system using LangManus to analyze a trending GitHub repository, scrape its commit history, visualize activity trends, and generate a markdown report.

Learn how to use the Gemini 2.5 Pro API to build a web app for code analysis, taking advantage of the model's large context window.

Learn how to use DeepSeek V3-0324 to build a UI component generator using Streamlit and Tailwind CSS.

Learn what GPT-4o image generation is, how to use it, and discover 8 practical examples to understand its capabilities.

Learn how to build a voice-to-voice assistant using OpenAI's latest audio models and streamline your workflow using the Agents API.

Fine-tune the new Gemma model using the finance reasoning dataset to improve its accuracy and adopt the style of the dataset.

Learn what natural language processing (NLP) is and discover its real-world application, using Google BERT to process text datasets.

Learn how forward propagation works in neural networks, from mathematical foundations to practical implementation in Python. Master this essential deep learning concept with code examples and visualizations.