AI 教程

Learn how to use OpenAI’s gpt-4o-audio-preview model with LangChain to build voice-enabled applications that include audio input, transcription, and generation.

Learn how to build secure, local AI applications that protect your sensitive data using a low/no-code automation framework.

Get step-by-step instructions on how to set up and run Llama 3.2 1B on your Android device using the Torchchat framework.

Learn how to predict the winner of the 2024 US presidential election using Python, machine learning, and data from FiveThirtyEight and the Federal Election Commission.

Learn how to use Runway Act-One through both the web interface and its API, and discover how to combine it with Runway Gen3-Alpha.

Learn to build AI chatbots with Streamlit, LangChain, and Neo4j. This tutorial covers creating UIs for LLM apps, implementing RAG, and deploying to Streamlit Cloud.

Learn how to build real-time AI applications with OpenAI's Realtime API. This tutorial covers WebSockets, Node.js setup, text/audio messaging, function calling, and deploying a React voice assistant demo.

Discover Microsoft's new LLM series and boost your model's accuracy from 65% to 86% by fine-tuning it on the E-commerce classification dataset.

Learn how swarm intelligence works by implementing ant colony optimization (ACO), particle swarm optimization (PSO), and artificial bee colony (ABC) using Python.

Learn Speculative RAG, a technique that improves RAG through a two-step drafting and verification process, and apply your skills with a hands-on implementation using Hugging Face Transformers.

Fine-tuning the Llama 3.1 model to solve specialized algebra problems with high accuracy and detailed results using Unsloth.

Learn how to fine-tune GPT-4o with images by following this step-by-step tutorial, where you’ll discover how to improve GPT-4o’s ability to recognize Georgian churches.