Prompt Engineering Guide: Guides, papers, and resources for prompt engineering

• Prompt-Engineering-Guide

  82 43,924 9.7 MDX

  🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

  

Proper prompt engineering would likely involve finding emergent properties like this:

https://github.com/dair-ai/Prompt-Engineering-Guide/blob/mai... (this is claimed, not proven)

It only seems like a trick until enough papers get written about these kinds of findings.

• empirical-philosophy

  9 141 2.5 TypeScript

  A collection of empirical experiments using large language models and other neural network architectures to test the usefulness of metaphysical constructs.

I've been developing a methodology around prompt engineering that I have found very useful:

https://github.com/williamcotton/empirical-philosophy/blob/m...

A few more edits and it's ready for me to submit to HN and then get literally no further attention!

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• pal

  4 436 3.1 Python

  PaL: Program-Aided Language Models (ICML 2023) (by reasoning-machines)

  

Using the terminology that I'm working with this is an example of a second-order analytic augmentation!

Here's another approach of second-order analytic augmentation, PAL: https://reasonwithpal.com

And third-order, Toolformer: https://arxiv.org/abs/2302.04761

The difference isn't in what is going on but rather with framing the approach within the analytic-synthetic distinction developed by Kant and the analytic philosophers who were influenced by his work. There's a dash of functional programming thrown in for good measure!

I have scribbled on a print-out of the article on my desk:

  Nth Order

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