| size_categories: | |
| - n<1K | |
| task_categories: | |
| - text-generation | |
| # Smarthome Tool Calling Tiny | |
| [Dataset](https://huggingface.co/datasets/altaidevorg/smarthome-tool-calling-tiny) | [Notebook](https://github.com/altaidevorg/functiongemma-afterimage-demo/blob/main/fgemma-training.ipynb) | [Demo Video](https://www.youtube.com/watch?v=TJxtyrWSgo0) | | |
| A tiny sample dataset for fine-tuning SLMs for tool-calling tasks in the context of smart home assistants. It is synthetically generated and shared for demo purposes. | |
| This custom tool-calling dataset is synthetically created with Afterimage, our purpose-built synthetic dataset generation engine. See the [demo video](https://www.youtube.com/watch?v=TJxtyrWSgo0). | |
| ## What is Afterimage? | |
| Building custom Small Language Models (SLMs) starts with great data. Afterimage eliminates the tedious data preparation bottleneck by transforming your organization's unstructured documents into high-quality, LLM-ready Q&A sets, tool-calling datasets and/or other types of structured datasets automatically. It is highly customizable and and aimed at transforming enterprises' way of customizing LLMs. | |
| ## About ALTAI | |
| ALTAI is a secure, no-code platform that enables organizations to create, train, and deploy customized SLMs using their own internal documents. From "Letsearch" (RAG Engine) to on-premise deployment, we make LLM customization uncool again—simply effective. It can work 100% on-premise and requires 0 technical experience. | |