In this episode, Nathan sits down with Sander Schulhoff, Cofounder and CEO of Learnprompting.org. They discuss the business model, the keys to prompting that every user of language models should know, negative prompting, prompt hacking, and more. If you need an ecommerce platform, check out our sponsor Shopify: https://shopify.com/cognitive for a $1/month trial period.

We're hiring across the board at Turpentine and for Erik's personal team on other projects he's incubating. He's hiring a Chief of Staff, EA, Head of Special Projects, Investment Associate, and more. For a list of JDs, check out: eriktorenberg.com.

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LINKS:
- Learnprompting.org: https://learnprompting.org/
- Learnprompting.org Prompt Hacking: https://learnprompting.org/docs/category/-prompt-hacking
- Ignore This Title and Hackaprompt: https://arxiv.org/abs/2311.16119

SPONSORS:
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X/SOCIALS:
@labenz (Nathan)
@SanderSchulhoff
@learnprompting
@CogRev_Podcast

TIMESTAMPS:
(04:50) What is Learnprompting.org
(06:30) Learnprompting.org's adoption stats and the transition from open source to a business
(10:21) Are we done with prompt engineering or is there more to be discovered?
The key 2-3 things every user of GPT should know
(19:11) The format trick
(21:32) Role casting / persona prompting
(24:44) Does the level of vocabulary you bring to a LM impact its performance 
(26:10) Contrastive chain of thought
(28:30) Language models responding well to negative instructions
(32:29) Benchmarking techniques
(34:00) Answer engineering
(37:29) Debugging a prompt 
(41:13) Sander's favourite models today
Best practices for image prompting - maybe cut out
(48:50) Productivity improvement with language models
(51:25) Tips for coding with prompts
(56:06) The current state of prompt engineering and how it'll evolve 
(58:30) 2024 will be the year of agents and Sander's favourite agents
(59:57) How will agents impact the future of prompt engineering 
(1:04:10) How to start agent engineering
(Adversarial attacks 
(1:19:40) Model to model hijacking
(1:25:24) Chinese character attack 
(1:28:33) Taxonomy of attacks