GPT excels when it understands the context of your queries. Enhance accuracy by offering additional context or background information. This helps the model grasp the nuances of your request, resulting in more contextually appropriate and accurate responses.
Ensure the accuracy of GPT-generated information by fact-checking through external sources. Cross-verify responses against reliable information to confirm the validity of the content. This step is crucial, especially when precision is paramount.
Engage in an iterative process if the initial response isn't precisely what you need. Refine your prompts based on the initial output, gradually guiding the model toward the desired direction. GPT learns from feedback, allowing for improved accuracy over time.
GPT provides flexibility with parameters like temperature and top-p sampling. Lower temperatures (e.g., 0.2) produce focused and deterministic responses, while higher temperatures (e.g., 0.
introduce randomness. Experiment with these settings to find the balance between accuracy and creativity.