Tutorial AI

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.

Learn how to build an MCP server using Anthropic's Model Context Protocol to connect Claude with GitHub and Notion.

Learn how to install, set up, and run Gemma 3 locally with Ollama and build a simple file assistant on your own device.

Learn how to build intelligent AI applications with OpenAI's Agents SDK. This comprehensive guide covers creating agents, implementing tools, structured outputs, and coordinating multiple agents.

Learn how to use Snowflake Cortex AI for text processing. Explore its key capabilities and showcase some examples of how to use Cortex AI to parse and quickly understand text.

Learn how to use Mistral's OCR API with Python to extract text and images from documents and integrate OCR capabilities into applications.

Learn how to use Wan 2.1, Alibaba's open-source video generation model, to create videos from text and images.

Learn how to install, set up, and run QwQ-32B locally with Ollama and build a simple Gradio application.

Learn how to build a multimodal language tutor using Microsoft's Phi-4-multimodal model.