This repository provides Jupyter Notebooks for the Geektime AI Course, designed for individuals looking to learn AI concepts and practical applications. It offers a structured learning path with code examples and explanations, leveraging cloud-based GPU resources for efficient execution.

How It Works

The course utilizes Jupyter Notebooks, a popular interactive computing environment, to deliver AI education. It focuses on practical implementation, likely involving common AI libraries and frameworks, and recommends Google Colab for its accessible GPU resources, which are crucial for handling the computational demands of AI tasks.

Quick Start & Requirements

• Installation: pip install -r requirements.txt or via conda env update --file conda-env.yml.
• Prerequisites: Python 3.10+, Conda (recommended), Google Colab or other GPU resources (e.g., AutoDL).
• Resources: Access to large data files via Baidu Disk (link and extraction code provided).

Highlighted Details

• Focus on current OpenAI API versions.
• Older notebook versions available under tag v0.0.1.
• Recommendation for Google Colab for GPU access.

Maintenance & Community

The repository is actively being revised by the author. No specific community channels or contributor information are detailed in the README.

Licensing & Compatibility

The license is not specified in the provided README.

Limitations & Caveats

The course content is under revision, and older versions may not reflect the latest practices or API changes. Access to large data files relies on a third-party cloud storage service with an extraction code.