Episode description

An interview with Sander Schulhoff, creator of learnprompting.org, the largest prompting resource online.

Watch the video version on YouTube: https://youtu.be/BNrPs3ANz1E

References:

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►Learn prompting: https://learnprompting.org/

►Twitter: https://twitter.com/learnprompting, https://twitter.com/Whats_AI

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►Join Our AI Discord: https://discord.gg/learnaitogether Chapters:

0:00 Hey! I hope you enjoy this interview. Follow to learn more about AI and prompting with amazing upcoming guests!

00:30 Who are you? What's your background?

01:40 How where you involved with reinforcement learning?

03:10 How was AI used within Minecraft?

06:04 What made you transition into prompting?

07:03 What is learnprompting.org?

08:57 How does prompting work? What are common types of prompting? Is it only in English?

10:48 What can you improve with prompting vs. just natural language and talking with another human being?

13:49 How do LLM work? Why are they able to understand and generate text? Why can’t it be able to understand us like other humans do?

15:51 Is the main thing that LLM’s lack emotion? Or is there another big difference?

17:27 Can you give an example of where you used prompting?

19:11 Can you give more details on what is Lang Chain and how it’s used?

20:17 How can one benefit from using prompting vs. Googling the answer?

24:38 Can you get paid by being a prompt engineer?

25:55 What do prompt engineers do? What are their tasks?

30:40 Who can become a prompt engineer?

32:48 Is there any way to measure that you are improving and going in the right direction for improving prompts for a specific task?

35:24 How would you recommend people to learn prompting?

37:57 Is prompt engineering a job for the future?

39:00 Do you think prompt engineering might get better and better as to in the end replace a human?

40:40 What are the differences in prompting between two separate models and a model over time?

42:24 Is there a way to be sure you’re not specializing on only one model?

43:54 Is it important for prompt engineers to better understand models?

45:49 Could you explain the difference between fine tuning and prompting?

49:29 Are there any misconceptions that you often need to clarify to those new to prompting?

51:46 Do you see any clear limitations of prompting?

55:12 What are the biggest challenges you see for prompting?

56:23 Was GPT-3 trained to be unbiased?

58:43 Did you solve the issue of ChatGPT not having only one word?

01:00:38 Why do you think it’s so difficult to output only one word?

01:01:37 Do you think the model doesn’t listen or it doesn't understand?

01:02:55 Can you think of any ethical problems that may arise because of this new technology?

01:04:09 What are you currently working on? What’s your next project?