Prompts read like natural language, but you can’t always write them the way you’d write for a human. Here are some concrete examples of semantically similar pro

Prompts read like natural language, but you can’t always write them the way you’d write for a human. Here are some concrete examples of semantically similar prompts being interpreted quite differently by an LLM. https://twitter.com/mitchellh/status/1645562198935347205 https://twitter.com/mitchellh/status/1645562198935347205 And these chaotic, butterfly-effect areas are going to be different for different models, which is what prompted (lol) the original question.