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AnthropicAnthropic

AI prompt engineering: A deep dive

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…

Alex AlberthostDavid HersheyguestAmanda AskellguestZack Wittenguest
Sep 5, 20241h 16mWatch on YouTube

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Episode Details

EPISODE INFO

Released
September 5, 2024
Duration
1h 16m
Channel
Anthropic
Watch on YouTube
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EPISODE DESCRIPTION

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

SPEAKERS

  • Alex Albert

    host

    Leads Developer Relations at Anthropic and moderates discussions on applied LLM usage and prompt engineering.

  • David Hershey

    guest

    Works with customers at Anthropic on deploying LLMs, including prompting, system-building, fine-tuning, and evaluation practices.

  • Amanda Askell

    guest

    Leads a fine-tuning team at Anthropic focused on training and aligning Claude (e.g., honesty and helpfulness).

  • Zack Witten

    guest

    Prompt engineer at Anthropic focused on designing, testing, and integrating prompts into real systems.

EPISODE SUMMARY

In this episode of Anthropic, featuring Alex Albert and David Hershey, AI prompt engineering: A deep dive explores Prompt engineering is iterative, context-rich communication that treats prompts like code The panel defines prompt engineering as the practice of eliciting the best possible model behavior through clear communication, rapid iteration, and system-aware integration rather than a single “perfect” prompt.

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