Intro

Nathan welcomes back Sander Schulhoff, creator of LearnPrompting.org, to discuss the recently released Prompt Report. In this episode of The Cognitive Revolution, we explore the current state of prompting techniques for large language models, covering best practices, challenges, and emerging trends in AI. Join us for an in-depth conversation on the future of prompt engineering and its implications for AI development.

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CHAPTERS:

(00:00:00) About the Show

(00:02:35) Sander Schulhoff, Learn Prompting

(00:05:22) Hack-a-Prompt updates

(00:12:39) The team behind the report

(00:18:40) Sponsors: Oracle | Brave

(00:20:48) The tech side of things (Part 2)

(00:22:24) The taxonomy

(00:25:06) Diamonds in the rough

(00:28:32) Few-shot prompting design decisions

(00:34:01) Sponsors: Omneky | Squad

(00:35:48) Example vs. Exemplar

(00:38:24) Exemplar Format

(00:42:04) Elaborate Instructions

(00:44:22) Variation in Performance

(00:46:46) Prompt Robustness

(00:50:54) RLHF vs. Base Models

(00:52:42) How to improve your prompts

(00:55:22) Ensembling

(00:58:41) Bootstrapping into fine-tuning

(01:02:04) Multimodal

(01:07:41) Agents

(01:09:47) Automated prompt engineering

(01:12:35) Productizing learn prompting

(01:14:28) Lessons from leading a team

(01:16:00) Outro