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Prompt Engineering with OpenAI GPT-3 API: A Real-World Example
Process Survey Data using OpenAI GPT-3 API
UPDATED: The article includes the ChatGPT API option (model=”gpt-3.5-turbo”).
Anthropic recently advertised a job opening for a Prompt Engineer and Librarian, with a salary range of $250k — $335k, likely posted around January 20, 2023. As prompt engineering is a relatively new field, the qualifications for the position include a portfolio showcasing prompt engineering work on language and image generation models.
So… I have decided to begin building a portfolio of projects, including writing this article or tutorial. In the near future, I plan to create a tutorial on the topic of prompting image generation models.
What is Prompt Engineering?
Prompt engineering is a concept in natural language processing that involves identifying inputs that produce desirable or useful outcomes. Given the way Large Language Models such as GPT-3 are trained and the data they are trained on, certain prompt formats tend to be more effective. A prompt engineer is someone who crafts the prompts necessary to elicit optimal responses from AI and maintains a library of these prompts.
