Great deep dive into a powerful prompting strategy I cover in the “Thinking with ChatGPT” section of my book (available in my bio) https://t.co/MCSlMkkI5e
Excellent prompt, and excellent suggestions of books and papers. Do this one: "Based on all of our interactions, what books or papers would I love that I probably haven’t heard of before" https://t.co/8gmovbKGLv https://t.co/PCTsoIlehd
Amazing prompt from @patrick_oshag “Based on all of our interactions, what books or papers would I love that I probably haven’t heard of before” ChatGPT gave me an interesting list. Definitely see ways to tweak the prompt, items for blind spots, next level on a subject, etc https://t.co/DAI3E2Cgvg https://t.co/6SDp7JQM3q
A new prompting strategy for AI language models has gained traction, particularly one that asks users to request book or paper recommendations based on their previous interactions. This prompt, articulated as 'Based on all of our interactions, what books or papers would I love that I probably haven’t heard of before,' has been praised by various users for its effectiveness in uncovering new reading material. Users have reported discovering books they had not previously encountered, despite some familiarity with recommended titles. Additionally, suggestions on how to refine the prompt for better results have been shared, highlighting its potential for identifying blind spots in knowledge and advancing understanding on specific subjects. The strategy has been discussed in a book titled 'Thinking with ChatGPT,' which emphasizes the importance of effective prompting techniques.