> ## Documentation Index
> Fetch the complete documentation index at: https://docs.finetunedb.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Overview

> Our platform is designed around a cyclical process that simplifies LLM fine-tuning and enables continuous model improvements via monitoring and output evaluations.

## FinetuneDB Features

The features we provide streamline the end-to-end model fine-tuning and serving workflow.

* **Data Collection:** Our SDK automatically captures all interaction data, from initial uses of generic models to engagements with custom fine-tuned models.
* **Data Refinement:** Use our dataset manager to filter and adjust content for high-quality training data.
* **Fine-Tuning:** Fine-tune both open-source and proprietary models with your datasets directly from our platform.
* **Evaluations:** Test models side by side. Use Human-in-the-loop and LLM-as-judge feedback to validate outputs.
* **Model Serving:** Deploy and serve fine-tuned open-source models from FinetuneDB with our inference API.
* **Ongoing Monitoring:** Continuously monitor models in production to detect data drift and identify performance edge cases.
* **Continuous Retraining:** Use feedback from monitoring to further fine-tune models through a continuous learning cycle.

## Our Mission

We strive to provide the most user-friendly platform that empowers generalist tech teams to leverage the power of fine-tuned AI models. Our goal is to dramatically cut costs and boost performance without compromising quality. We are on a mission to democratize fine-tuning, making custom model development accessible to the next generation of builders on the next computing platform—GenAI. Welcome to FinetuneDB!