Learn PromptingConclusion
This page will be updated as I get access to more IDEs.
This chapter has provided an overview of some of the tools which may be of interest to you as a prompt engineer. Below are my recommendations for which to use, and in what capacity. Keep in mind that prompt engineering is a rapidly evolving field, and many of the previously mentioned tools will undergo signifigant changes in the future.
For Single Prompt Iterating
Everyprompt seems to have the best feature set for single prompt iterating (from the IDEs I have been able to try). Regular playground is also good, and a bit simpler.
For Prompt Chaining
Dust is currently the best (less technical) tool for prompt chaining. It provides a very robust feature set.
Embeds
Dyno is the only tool which offers an embed.
For Full Control
LangChainis the way to go! It is a Python library, so it is fully extensible, and already comes with a great feature set.
More
I will be adding more recommendations as I get access to more IDEs. I recommend trying out different ones, as each has a distinct feel and different features.
Sander Schulhoff
Sander Schulhoff is the CEO of HackAPrompt and Learn Prompting. He created the first Prompt Engineering guide on the internet, two months before ChatGPT was released, which has taught 3 million people how to prompt ChatGPT. He also partnered with OpenAI to run the first AI Red Teaming competition, HackAPrompt, which was 2x larger than the White House's subsequent AI Red Teaming competition. Today, HackAPrompt partners with the Frontier AI labs to produce research that makes their models more secure. Sander's background is in Natural Language Processing and deep reinforcement learning. He recently led the team behind The Prompt Report, the most comprehensive study of prompt engineering ever done. This 76-page survey, co-authored with OpenAI, Microsoft, Google, Princeton, Stanford, and other leading institutions, analyzed 1,500+ academic papers and covered 200+ prompting techniques.