Items tagged promptengineering in Dec, 2023
Filters: Year: 2023 × Month: Dec × promptengineering × Sorted by date
Pushing ChatGPT’s Structured Data Support To Its Limits. The GPT 3.5, 4 and 4 Turbo APIs all provide “function calling”—a misnamed feature that allows you to feed them a JSON schema and semi-guarantee that the output from the prompt will conform to that shape.
Max explores the potential of that feature in detail here, including some really clever applications of it to chain-of-thought style prompting.
He also mentions that it may have some application to preventing prompt injection attacks. I’ve been thinking about function calls as one of the most concerning potential targets of prompt injection, but Max is right in that there may be some limited applications of them that can help prevent certain subsets of attacks from taking place. # 21st December 2023, 5:20 pm
Computer, display Fairhaven character, Michael Sullivan. [...]
Give him a more complicated personality. More outspoken. More confident. Not so reserved. And make him more curious about the world around him.
Good. Now... Increase the character’s height by three centimeters. Remove the facial hair. No, no, I don’t like that. Put them back. About two days’ growth. Better.
Oh, one more thing. Access his interpersonal subroutines, familial characters. Delete the wife.
— Captain Janeway, prompt engineering # 15th December 2023, 9:46 pm
Long context prompting for Claude 2.1. Claude 2.1 has a 200,000 token context, enough for around 500 pages of text. Convincing it to answer a question based on a single sentence buried deep within that content can be difficult, but Anthropic found that adding “Assistant: Here is the most relevant sentence in the context:” to the end of the prompt was enough to raise Claude 2.1’s score from 27% to 98% on their evaluation. # 6th December 2023, 11:44 pm