4 ms·
As I was reading that prompt, it looked like large blob of if else case statements
by 6Az4Mj4D 1y ago
As I was reading that prompt, it looked like large blob of if else case statements
- MaxLeiter 1y agoThis is generally how prompt engineering works 1. Start with a prompt 2. Find some issues 3. Prompt against those issues* 4. Condense into a new prompt 5. Go back to (1) * ideally add some evals too
- refactor_master 1y agoMaybe we can train a simpler model to come up with the correct if/else-statements for the prompt. Like a tug boat.
- otabdeveloper4 1y agoHobbyists (random dudes who use LLM models to roleplay locally) have already figured out how to "soft-prompt". This is when you use ML to optimize an embedding vector to serve as your system prompt instead of guessing and writing it out by hand like a caveman. Don't know why the big cloud LLM providers don't do this.