GitHub

ChatGPT AutoExpert

What is the project about?

ChatGPT AutoExpert is a set of custom instructions designed to enhance the capabilities of OpenAI's GPT-4 and GPT-3.5-Turbo conversational AI models. It aims to provide more in-depth, nuanced, and context-rich responses while minimizing generic disclaimers.

What problem does it solve?

It addresses the limitations of standard ChatGPT interactions, such as shallow responses, excessive hand-holding, and lack of expert-level insights. It improves the quality and depth of responses, making the AI a more effective tool for learning and problem-solving.

What are the features of the project?

  • Automatic Question Improvement: Rewrites user questions for clarity and precision.
  • Slash Commands: Provides shortcuts for interacting with the system (summaries, alternative viewpoints, etc.).
  • Framework Selection: Automatically chooses appropriate frameworks for formulating answers.
  • Maximized Depth and Nuance: Provides detailed, multi-turn responses (GPT-4 only).
  • Expert Identification: Automatically identifies the best expert roles for answering questions.
  • Minimized Hand-Holding: Reduces unnecessary disclaimers.
  • Explicit Reasoning: Explains the thought process behind answers.
  • Resourceful Links: Generates links to related topics (using Google search to avoid hallucinations).
  • Developer Edition (GPT-4 with Advanced Data Analysis):
    • Verbosity selection for code generation.
    • Jupyter integration for enhanced code editing.
    • Session memory for resuming work across chats.
    • Custom wheel installation.
    • Code saving and conversation history download.
    • File and symbol tree for code organization.

What are the technologies used in the project?

  • OpenAI's GPT-4 and GPT-3.5-Turbo models.
  • Jupyter Notebook (for the Developer Edition).
  • Python (for the companion script in the Developer Edition).

What are the benefits of the project?

  • Improved accuracy and depth of information.
  • Enhanced learning experience.
  • Reduced noise and disclaimers.
  • More efficient and effective use of ChatGPT.
  • Streamlined coding assistance (Developer Edition).

What are the use cases of the project?

  • General knowledge inquiries.
  • In-depth research and learning.
  • Complex problem-solving.
  • Software development and code generation (Developer Edition).
  • Content creation and brainstorming.
  • Any situation where expert-level AI assistance is needed.
ChatGPT-AutoExpert screenshot