Ep050: Prompt Engineering for Business Performance
Update: 2024-08-13
Description
Today Anthropic’s Zach Witten takes us on a deep dive into Anthropic’s cutting-edge AI models—Claude Haiku, Sonnet, and Opus—exploring their safety-first approach to generative AI and sharing essential tips for prompt engineering.
Topics Include:
- Introductions, about Anthropic
- 3 models: Haiku, Sonnet and Opus
- Scaling laws for hardware, data and compute
- Competing to be safest AI solutions, safety-first organization
- Leader in jailbreak resistance
- Interpretability features and breakthroughs for AI models
- Basics of prompt engineering
- Improving prompts with Claude
- Details matter – small changes to spelling, context will greatly improve results
- System prompt – role setting will improve results (i.e. “You are an expert mathematician…” for math query
- Be clear and direct – use XML tags where possible
- Encourage Claude to think step-by-step – answering fast comes with accuracy risk
- Use examples to provide additional clarity to Claude
- Bonus tips for image-based prompt engineering
- Q&A 1) Who wrote the meta-prompts in the cookbook?
- Q&A 2) Guidance for writing prompts for prompt generator
- Q&A 3) Best practices for tabular and structured data
- Q&A 4) Maintaining “tone” across hundreds/thousands of responses
- Q&A 5) Reverse engineering a prompt
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