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I don't understand what the use case is here at all. It saves prompt parameters as JSON? Is that it?
by bongodongobob 3y ago
I don't understand what the use case is here at all. It saves prompt parameters as JSON? Is that it?
- cantSpellSober 3y agoUsing models from any provider or modality in a single playground
- cybereporter 3y agoJSON and YAML, but it also supports connectivity to a bunch of LLMs (including image models like Dall-e 3) and some prompt chaining.
- m3kw9 3y agoLooks like you can switch models and use the same prompts very quickly.
- slig 3y agoIf you enjoy the OpenAI's playground, this looks pretty much like that but you can use other LLMs.
- skybrian 3y agoIt seems to be a config file format, library for loading it, interactive editor for it, and playground that uses it.
- leguy 3y agoI thought it supported a few use cases: * Testing prompt behavior across various LLMs * Sharing those prompts across multiple applications We currently use a jupyter notebook to iterate, test, and validate prompts. Then move those prompts to our production app written in C#. If there were a C# SDK, I could use this tool to create a prompts config file and share it between the jupyter notebook and the C# app. The config file could also be added to version control. Having said that, I don't understand why it saves the output of the LLM so maybe I'm missing something. https://aiconfig.lastmileai.dev/docs/basics https://aiconfig.lastmileai.dev/docs/basics