AI Insiders - Prompt Hacks
🕑 Added 2023-12-05 16:54:43 +0000 UTCWhether you're new to LLMs or consider yourself a Prompt Engineer, here is a 30 min tour of my most-used Prompt Hacks, plus expert guest insight from Google DeepMind's Tim Rocktäschel. Covering everything from prompt chaining to self consistency, rephrase and respond to EmotionPrompt.
Slides: https://docs.google.com/presentation/d/1IlOXhv4JUX7SOmPaMKQGe5yagNw3Zr0w83voYMImVv8/edit?usp=sharing
Comments
Phillip Lakaschus
Can't wait for a finetuned version of GPT that automatically identifies the most suitable prompting strategies for a given prompt and uses these to prompt itself instead of the original prompt. At least this would save quite a lot of time.
Graham Herdman
Amazing stuff! Keen to try all these out!
Philip
Thanks so much Bojan, more to come!
Bojan Savic
Love this practical content, huge value for the patreon
Philip
Great theory, could definitely be part of the explanation, along with the recent fad of 'tipping' a model
Rastislav Dujava
As for the Emotional prompting , I have a theory. I think , as You said , those emotions were in training data . But I think , that its not about models Attention , but more about how the text followed after those Emotions used in text. Usually , if sentence " This is important for my career" is written somewhere , its followed by very good performance of person ( e.g. student , employee) as a continuation of that text - maybe some book , some TV show script , ... . So its just higher quality text for training , because hard Emotion , triggered better performance of the human , all recorded in the text . So the explanation should be in Pattern that it follows , not the attention that model pays to emotions.
Philip
Thanks so much Martin!
Martin Percy
all this is amazing thanks Philip! : )