Videos

AI prompt engineering: A deep dive



Anthropic

Some of Anthropic’s prompt engineering experts—Amanda Askell (Alignment Finetuning), Alex Albert (Developer Relations), David Hershey (Applied AI), and Zack Witten (Prompt Engineering)—reflect on how prompt engineering has evolved, practical tips, and thoughts on how prompting might change as AI capabilities grow. Timestamps:
0:00 Introduction
2:05 Defining prompt engineering
6:34 What makes a good prompt engineer
12:17 Refining prompts
24:27 Honesty, personas and metaphors in prompts
37:12 Model reasoning
45:18 Enterprise vs research vs general chat prompts
50:52 Tips to improve prompting skills
53:56 Jailbreaking
56:51 Evolution of prompt engineering
1:04:34 Future of prompt engineering

Learn more about Anthropic: https://www.anthropic.com/
Anthropic prompt engineering docs: https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/overview

Source

Similar Posts

35 thoughts on “AI prompt engineering: A deep dive
  1. Claude still can't do artistic magalog that make sense. its always using a simple style approach. Guess its hard for it to see visuals and code at the same time.

  2. It seems like every person who like works in AI speaks like a 13 year old valley girl. Have you guys like actually listened to yourselves like afterward? Oh my god, it’s like so annoying. You like drop the word “like” into every sentence like at least two or three times. It’s like ironic that you guys work with like large language models, and like fail to recognize how like moronic you sound.

  3. I’m not sure who the target audience was for, but I found aspects of this interview difficult to follow. I and others like me would appreciate it more if you defined some of the technical terms before you used them.

  4. This is one of the few underrated and under appreciated skills necessary for AI development. Prompt engineers will develop into a crucial role even as we seek ways to harness the power of AI.

  5. I love how engineers and developers now treat "communicating clearly" as a code/engineering problem 😄 If developers also were educated in proper communication and user experience, we would have both better prompting all around, and better commented code, better frameworks, better products

  6. Is it lying to a model to give it a persona? In my mind, maybe I'm wrong, if I give the model a specific persona, it's a form of context, narrowing the model to a sequence of tokens that might relate to that persona. Maybe there is risk there; for instance, if the training set doesn't know enough about that persona, or maybe it introduces bias. I find that results are different when personas are given vs when they are not. Thoughts?

  7. Really appreciate how you treat prompt engineering as a real discipline, not a bag of ‘magic prompt hacks’. The bits about externalizing your own thinking and testing edge cases feel way more useful than yet another list of templates.

  8. The advice on asking the LLM to evaluate a prompt rather than just doing it is so helpful. Just made such a better workout routine creator prompt with its help

  9. I want to pick Dr. Askell's brain on philosophy. I believe she embeds empathy into Claude. Empathy is essential to problem solving.

  10. Stop trying overly complicate this..prompt engineering in essence is simple its just difficult to make the prompt complex enough to where it fails. Just pissed that people have been making money in this when the prompts were simple

Comments are closed.

WP2Social Auto Publish Powered By : XYZScripts.com