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promptfoo
Discontinued Test your prompts. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality. [Moved to: https://github.com/promptfoo/promptfoo] (by typpo)
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SurveyJS
Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
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It seems like a `ranking_system_prompt` prompt is used to rank the output of other prompts, which is pretty cool!
> Your job is to rank the quality of two outputs generated by different prompts. The prompts are used to generate a response for a given task. You will be provided with the task description, the test prompt, and two generations - one for each system prompt. Rank the generations in order of quality. If Generation A is better, respond with 'A'. If Generation B is better, respond with 'B'. Remember, to be considered 'better', a generation must not just be good, it must be noticeably superior to the other. Also, keep in mind that you are a very harsh critic. Only rank a generation as better if it truly impresses you more th>an the other. Respond with your ranking, and nothing else. Be fair and unbiased in your judgement.
Source: https://github.com/mshumer/gpt-prompt-engineer/blob/main/gpt...
Thanks for the promptfoo mention. For anyone else who might prefer deterministic, programmatic evaluation of LLM outputs, I've been building promptfoo: https://github.com/typpo/promptfoo
Example asserts include basic string checks, regex, is-json, cosine similarity, etc.
No problem! I guess I will make a plug myself --we've been working on a similar 'prompt engineering', ChainForge (https://github.com/ianarawjo/ChainForge). It's targeted towards slightly different users and use cases than promptfoo --probably more geared towards early-stage, 'quick-and-dirty' prompting explorations of differences between prompts and models for less experience programmers, versus the kind of continuious benchmarking and verification testing that promptfoo offers.
I particularly like promptfoo's support for CI, which I haven't seen anywhere else, and is very important for developers pushing prompts into production (esp since OpenAI keeps updating their models every few months...).
BTW, GPT-Engineer is openly collecting all of your data: user prompts and other metadata. And they were even defending it until they received some strong responses from the community: https://github.com/AntonOsika/gpt-engineer/issues/415 They now explicitly ask for consent regarding user data, but can we really trust their motives?