What's AI Podcast by Louis-François Bouchard How to prompt and prompt engineering. With Learn Prompting's Creator Sander Schulhoff - What's AI Podcast Episode 7
Minecraft AI Task Challenge
- AI in Minecraft is used to teach agents tasks like mining trees or building houses.
- The challenge is the vague task definition and lack of explicit reward signals for the agents.
Why Prompt Engineering Matters
- Large language models interpret prompts differently than humans, requiring precise instructions.
- Prompt engineering refines inputs so models output exactly what users want.
LLMs Lack Human Social Cues
- Language models only process text, missing nonverbal cues humans use to communicate meaning.
- This limits their true understanding and emotional connection ability.
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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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?