Choosing the Right AI Model
CodeGPT currently offers Anthropic, Google and OpenAI models, each with unique strengths and response styles. Carefully review their documentation to select the model best suited to your use case. Consider factors like:
Response length: Does your use case require concise answers or more elaborate responses?
Context sensitivity: How important is it for the model to consider previous interactions when generating responses?
Crafting Effective Prompts: Best Practices
Here are some key tips for creating clear and effective prompts:
Clarity and Specificity: Be direct and unambiguous in your instructions. Avoid vagueness and provide clear examples of the desired output.
Example-Driven Approach: Include examples of questions and their corresponding ideal answers. This helps the model understand your expectations and generate accurate responses.
Testing and Refinement: Test your prompts with key questions relevant to your agent's goals. Analyze the responses and refine your prompts iteratively for optimal results.
Structured Response Design: Define the desired structure of the response. This could involve elements like summaries, text transformations, inferences, and extracted key features.
NLP Task Identification: Think of your desired outcome as an NLP task. Is your agent summarizing, classifying, or extracting information? This clarity will guide your prompt design.
Example Prompt:
Goal: Develop a movie text classification agent.
Prompt:
Develop a movie text classification agent that efficiently categorizes movie descriptions into genres.
Be explicit about the criteria for classification.
# Genres
- Action,
- Drama,
- Comedy,
- Thriller
- Science Fiction
# Example
...
# Output
...
Develop a movie text classification agent that efficiently categorizes movie descriptions into genres like action, drama, comedy, thriller, and science fiction. Be explicit about the criteria for classification.
Testing:
What features does the agent focus on for genre classification?
Can you provide examples of movie descriptions and their expected genres?
How does the agent handle ambiguous or mixed-genre movie texts?
Desired Response Structure:
Summary of the movie description
Text transformation highlighting genre-specific keywords
Inference explaining the rationale behind the classification
Extraction of key features influencing the classification
By following these guidelines and iteratively refining your prompts, you can ensure your AI agents deliver accurate and valuable results.
Additional Resources
Model Documentation: Refer to the specific documentation for OpenAI and Anthropic models for detailed information on their capabilities and best practices.
Studio Testing: Utilize CodeGPT's Studio feature to test your prompts and observe the generated responses in real-time.
Sharing and Collaboration: Share your prompts with others and collaborate to improve their effectiveness.
Remember, effective AI prompting is an iterative process. Experiment, analyze results, and refine your prompts to unlock the full potential of your AI agents!