Chatgpt Cheat Sheet

Below is a condensed cheat sheet for working with ChatGPT, a language model developed by OpenAI based on the GPT-3.5 architecture:

Using ChatGPT

  1. Accessing ChatGPT:
    • Use the OpenAI API or interact with the model through platforms that integrate it.
  2. Sending a Prompt:
    • Submit a user prompt to start a conversation with ChatGPT.
    • Example: You: What is the capital of France?
  3. Response Generation:
    • ChatGPT generates responses based on the input prompt.
    • Example: ChatGPT: The capital of France is Paris.
  4. Contextual Conversation:
    • Maintain context by including previous messages in the conversation.
    • Example:
You: Tell me about the Eiffel Tower.
ChatGPT: The Eiffel Tower is...

Tips for Effective Usage

Temperature Control:

  • Adjust the temperature parameter to control randomness.
  • Lower values (e.g., 0.2) make output more focused, while higher values (e.g., 0.8) introduce more randomness.
  • Example: temperature=0.5

Max Tokens:

  • Set a limit on the number of tokens in the response using the max_tokens parameter.
  • Example: max_tokens=50

System Messages:

  • Use system-level instructions to guide the behavior of ChatGPT.
  • Example: You are an assistant that speaks like Shakespeare.

Experiment with Prompts:

  • Modify prompts to get desired responses. Experiment with different phrasing and structure.

Handle Output:

  • Process and filter model outputs as needed for your application.

OpenAI API Example (Python)

import openai

openai.api_key = 'YOUR_API_KEY'

response = openai.Completion.create(
  engine="text-davinci-002",
  prompt="Translate the following English text to French: '{}'",
  max_tokens=60
)

print(response['choices'][0]['text'].strip())

Important Considerations

Respectful Use:

  • Ensure that interactions with ChatGPT are ethical and adhere to guidelines.

Bias and Fairness:

  • Be aware of potential biases in model outputs and address them responsibly.

Fine-Tuning (As of Knowledge Cut-off):

  • Fine-tuning is not available for GPT-3.5.

Remember to check the latest OpenAI documentation for any updates or changes to the model behavior and guidelines. For detailed information, refer to the OpenAI GPT API documentation.