AI 教程

Learn to use DeepEval to create Pytest-like relevance tests, evaluate LLM outputs with the G-eval metric, and benchmark Qwen 2.5 using MMLU.

Learn how to build an AI-powered code reviewer assistant using DeepSeek-V3 and Gradio.

Learn how to set up and run vLLM (Virtual Large Language Model) locally using Docker and in the cloud using Google Cloud.

Learn how to build a homework checker using Microsoft's Phi-4 model, which validates solutions, provides detailed corrections, and suggests elegant alternatives.

Learn how to optimize your coding workflow using the ChatGPT desktop app, with a focus on its integration with VS Code, the terminal, and Xcode.

Learn how to align large language models with user preferences using OpenAI's preference fine-tuning and direct preference optimization.

Learn how to build a multilingual code explanation app using Llama 3.3, Hugging Face, and Streamlit.

Learn how to use Google's Gemini 2.0 Flash model to develop a visual assistant capable of reading on-screen content and answering questions about it using Python.

Learn about the Qwen2.5-Coder series by building an AI code review assistant using Qwen 2.5-Coder-32B-Instruct and Gradio.

Learn about the new Amazon Nova models (Micro, Lite, Pro, Premier, Canvas, Reel), how to access them through the Bedrock Playground and API, and how to build a demo multi-agent app.

Learn how Anthropic's contextual retrieval improves the accuracy of retrieval systems and how to implement it step-by-step.

Learn how to set up the AWS Multi-Agent Orchestrator framework and build a demo project focused on multi-agent orchestration.