May 7, 20240 citationsOpen Access

Fine-tuning Large Language Models: A Brief Introduction

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Abstract

Supervised Fine-tuning, Reinforcement Learning from Human Feedback and the latest SteerLM Author · Xuzeng He ( ORCID: 0009–0005–7317–7426) Introduction Large Language Models (LLMs), usually trained with extensive text data, can demonstrate remarkable capabilities in handling various tasks with state-of-the-art performance. However, people nowadays typically want something more personalised instead of a general solution.

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Xuzeng He (Tue,) studied this question.

synapsesocial.com/papers/68e6b3b1b6db6435876352d5 https://doi.org/https://doi.org/10.59350/1aezq-kk827

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4Supervised Fine-Tuning as Inverse Reinforcement Learning2024
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