README.md

---
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.