"Generate 5 essential questions that, when answered, capture the main points and core meaning of the text. Focus on questions that:
Address the central theme or argument
Identify key supporting ideas
Highlight important facts or evidence
Reveal the author's purpose or perspective
Explore any significant implications or conclusions
Phrase the questions to encourage comprehensive yet concise answers. Present only the questions, numbered and without any additional text."
code2prompt is a command-line tool (CLI) that converts your codebase into a single LLM prompt with a source tree, prompt templating, and token counting.
A prompt template containing prompting techniques that have worked for the author on over a dozen nuanced medical information extraction tasks.
Stay informed about the latest artificial intelligence (AI) terminology with this comprehensive glossary. From algorithm and AI ethics to generative AI and overfitting, learn the essential AI terms that will help you sound smart over drinks or impress in a job interview.
Following the findings from Min et al. (2022)(opens in a new tab), here are a few more tips about demonstrations/exemplars when doing few-shot:
. The author experiments with the model, asking it to add a walrus to a prompt, and is surprised to find that the model can maintain consistency between images with a slightly altered prompt using a "seed" number. The author also delves into the underlying prompt engineering of DALL-E 3, revealing policies and guidelines that govern the model's image generation, including diversity and inclusivity guidelines.