With the recent proliferation of generative AI models (from OpenAI, co:here, Anthropic, etc.), practitioners are racing to come up with best practices around prompting, grounding, and control of outputs.

Chris and Daniel take a deep dive into the kinds of behavior we are seeing with this latest wave of models (both good and bad) and what leads to that behavior. They also dig into some prompting and integration tips.

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Featuring:

Chris Benson – Twitter, GitHub, LinkedIn, Website
Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

Generative AI model behavior in the news:

Useful guides related to prompt engineering:

co:here prompt engineering guide
Prompt engineering overview from Elvis Savaria
10 Amazing Resources For Prompt Engineering, ChatGPT, and GPT-3
Image generation prompt engineering guides: see here and here

Something missing or broken? PRs welcome!

Success (and failure) in prompting 43:52 Share

Practical AI: Machine Learning, Data Science, LLM

Shownotes Transcript

Success (and failure) in prompting