From the source
Summary by forck
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.
