GPT and Negation: Unveiling AI Control Logic(GPT Introduction Part 6)
Understanding Negation to Enhance GPT's Precision Control
Hello everyone, I am writing a series of 10 articles about GPT. This is the sixth one.
In "Human-AI Collaboration," a fundamental requirement is precise control. This breaks down into two subtopics:
Do: Clearly and precisely express your needs.
Don't: Lead AI to avoid generating unwanted content.
AI Understanding Negation: AI must know what is not included to give the right answers. This is like not buying some things when shopping.
Character Design: Make a role to help AI with tasks like cutting parts of images.
Practical Scenarios: Accurate control is needed for tasks like cutting product detail images or email images.
Implementation Methods:
Mac Users: Use AppleScript.
Windows Users: Use Python.
Figma Users: Develop plugins.
Learning Path: No programming background is needed. Follow tutorials to gradually master it.
Why can't GPT effectively understand negation?
The GPT model identifies problems by analyzing data but may not fully understand the concept of negation. As it updates, its performance improves.
When processing issues, GPT looks for keywords. The clearer the keywords, the more accurate the understanding.
In short, the GPT model is constantly improving. Use clear keywords for smoother communication.
Instead of just saying what not to do, say what to do instead.
❌ Less effective
The following is a conversation between an Agent and a Customer. DO NOT ASK USERNAME OR PASSWORD. DO NOT REPEAT.
Customer: I can’t log in to my account.
Agent:✅ Better
The following is a conversation between an Agent and a Customer. The agent will attempt to diagnose the problem and suggest a solution, whilst refraining from asking any questions related to PII. Instead of asking for PII, such as username or password, refer the user to the help article www.samplewebsite.com/help/faq
Customer: I can’t log in to my account.
Agent: