# Hugging Face — Synthetic data: save money, time and carbon with open source

- Company: Hugging Face (huggingface.co)
- Announced: 2024-02-16T00:00:00+00:00
- Subject: Platform
- Source: https://huggingface.co/blog/synthetic-data-save-costs
- Record: https://forck.live/items/1941-synthetic-data-save-money-time-and-carbon-with-open-source

This blog post presents a method for creating synthetic data using open-source LLMs, such as Mixtral-8x7B-Instruct-v0.1, to fine-tune smaller, more efficient models. It includes a case study on financial sentiment analysis showing significant cost, time, and carbon savings compared to using proprietary LLM APIs like GPT-4.

## Evidence

Verbatim from https://huggingface.co/blog/synthetic-data-save-costs:

> we show how to use an open-source LLM to create synthetic data to train your customized model in a few steps.

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Record: https://forck.live/items/1941-synthetic-data-save-money-time-and-carbon-with-open-source
Catalogue: https://forck.live/llms.txt
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