The tool also offers a number of features including a source-control friendly AIConfig format for saving prompts and model settings, multi-modal and model agnostic capabilities, prompt chaining and parameterization, streaming support, and a notebook editor. AIConfig can be installed with any package manager for Node or Python. The tool also supports a number of models including OpenAI chat models, LLaMA2, Google PaLM models, and Hugging Face text generation models.
Key takeaways:
- AIConfig is a tool that allows for the saving of prompts, models, and model parameters as source control friendly configurations, enabling separate iteration on prompts and model parameters from application code.
- AIConfig is designed to be model-agnostic and multi-modal, meaning it can be extended to work with any generative AI model, including text, image, and audio.
- The tool also features a notebook-like playground called AI Workbook editor for visual editing of AIConfig files, running prompts, tweaking models and model settings, and chaining things together.
- AIConfig supports a variety of models out of the box, including OpenAI chat models, LLaMA2, Google PaLM models, and Hugging Face text generation models.