ChatGPT technical mechanics and prompt engineering guide

ChatGPT, the large language model developed by OpenAI, utilizes an internal vocabulary consisting of 100,261 distinct words or word fragments. This vocabulary includes unique entries, such as specific usernames, and allows the model to process non-English words while performing complex tasks like arithmetic and translation through a sophisticated autocomplete process.

To optimize interactions with the model, prompt engineering techniques are used to improve response relevancy. Effective prompting relies on specificity and the addition of constraints. By providing precise scopes—such as targeting advice for new runners or workplace stress reduction—users can elicit more tailored and actionable information from the AI.