# Hugging Face — Investing in Performance: Fine-tune small models with LLM insights - a CFM case study

- Company: Hugging Face (huggingface.co)
- Announced: 2024-12-03T00:00:00+00:00
- Subject: Platform
- Source: https://huggingface.co/blog/cfm-case-study
- Record: https://forck.live/items/1789-investing-in-performance-fine-tune-small-models-with-llm-insights-a-cfm-case

A case study from Capital Fund Management (CFM) leveraging open-source LLMs and the Hugging Face Ecosystem for Named Entity Recognition (NER) on financial data, achieving up to 6.4% accuracy improvement and 80x cost reduction by fine-tuning small models with LLM-assisted labeling.

## Evidence

Verbatim from https://huggingface.co/blog/cfm-case-study:

> By leveraging LLM-assisted labeling with HF Inference Endpoints and refining data with Argilla, the team improved accuracy by up to 6.4% and reduced operational costs, achieving solutions up to 80x cheaper than large LLMs alone.

---

Record: https://forck.live/items/1789-investing-in-performance-fine-tune-small-models-with-llm-insights-a-cfm-case
Catalogue: https://forck.live/llms.txt
Feed: https://forck.live/feed.md