# How to Fine-Tune LLMs in 2026

DevFeed: [How to Fine-Tune LLMs in 2026](<https://devfeed.tech/articles/how-to-fine-tune-llms-in-2026-31467.md>)

Original publisher: [Read original article](<https://blog.dailydoseofds.com/p/how-to-fine-tune-llms-in-2026-bf8>)

Author: Avi Chawla

Published: 2026-09-16T20:40:26Z

Content type: tutorial

Language: en

Sources: [Daily Dose of Data Science](<https://devfeed.tech/sources/daily-dose-of-data-science.md>)

Topics: [Fine-tuning](<https://devfeed.tech/topics/fine-tuning.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [grpo](<https://devfeed.tech/topics/grpo.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [llms](<https://devfeed.tech/tags/llms.md>), [rl](<https://devfeed.tech/tags/rl.md>)

## AI overview

A developer newsletter explains how supervised fine-tuning differs from reinforcement fine-tuning for LLMs and describes GRPO and RULER as approaches for training agents through experience without manually written reward functions or labeled examples. It also briefly discusses Rowboat Spaces, an open-source shared workspace for personal AI assistants.

## Source excerpt

Reward-free RL is here!