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Mo Gawdat openly discusses the current rate of advancement of AI and the expected technological innovation that will follow at the Nordic Business Forum 2023 in Helsinki on September 27, 2023.

Learning points:

Where AI might be heading as a technology.
Ethical questions to consider as a business leader.
What is the role each of us and our businesses have to play to ensure that AI will be a driver for positive change.

#evolution.

Promptbreeder is a self-improving self-referential system for automated prompt engineering. Give it a task description and a dataset, and it will automatically come up with appropriate prompts for the task. This is achieved by an evolutionary algorithm where not only the prompts, but also the mutation-prompts are improved over time in a population-based, diversity-focused approach.

OUTLINE:
0:00 — Introduction.
2:10 — From manual to automated prompt engineering.
10:40 — How does Promptbreeder work?
21:30 — Mutation operators.
36:00 — Experimental Results.
38:05 — A walk through the appendix.

Paper: https://arxiv.org/abs/2309.

Abstract:
Popular prompt strategies like Chain-of-Thought Prompting can dramatically improve the reasoning abilities of Large Language Models (LLMs) in various domains. However, such hand-crafted prompt-strategies are often sub-optimal. In this paper, we present Promptbreeder, a general-purpose self-referential self-improvement mechanism that evolves and adapts prompts for a given domain. Driven by an LLM, Promptbreeder mutates a population of task-prompts, and subsequently evaluates them for fitness on a training set. Crucially, the mutation of these task-prompts is governed by mutation-prompts that the LLM generates and improves throughout evolution in a self-referential way. That is, Promptbreeder is not just improving task-prompts, but it is also improving the mutationprompts that improve these task-prompts. Promptbreeder outperforms state-of-the-art prompt strategies such as Chain-of-Thought and Plan-and-Solve Prompting on commonly used arithmetic and commonsense reasoning benchmarks. Furthermore, Promptbreeder is able to evolve intricate task-prompts for the challenging problem of hate speech classification.

Authors: Chrisantha Fernando, Dylan Banarse, Henryk Michalewski, Simon Osindero, Tim Rocktäschel.

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