AI 教程

Learn about the new flagship vision-language model and run it on a laptop with 8GB VRAM.

Learn to code an unbeatable Tic-tac-toe AI using the Minimax algorithm in Python. This tutorial covers theory, implementation, and optimization, ideal for game AI enthusiasts.

Learn how to install, set up, and run DeepSeek-R1 locally with Ollama and build a simple RAG application.

In this DeepSeek-R1 tutorial, you'll learn how to build a math puzzle solver app by integrating DeepSeek-R1 with EasyOCR and Gradio.

A beginner-friendly guide to TorchRL for deep reinforcement learning—learn to build RL agents with PyTorch through practical examples.

Learn how to set up the DeepSeek Janus-Pro project, build your own Docker image, and run the Janus web application locally on your laptop.

Fine-tuning the world's first open-source reasoning model on the medical chain of thought dataset to build better AI doctors for the future.

Learn how to create a simplified implementation of the RStar framework using a combination of neural networks, symbolic reasoning, and Monte Carlo Tree Search (MCTS).

Learn how to set up and run the Genesis Physics Engine on Google Colab, overcoming installation challenges and getting started with physics simulations.

Learn about Mistral's Codestral 25.01, including its capabilities, benchmarks, and how to set it up in VS Code for code assistance.

Learn about GitOps, its importance, various approaches, and how to integrate it into an AI project.

Discover the importance of dimensionality reduction, its techniques, and how to apply them to image datasets while visualizing and comparing data in lower-dimensional spaces.