Merge pull request #1062 from shimmyshimmer/patch-1

Update Fine-tuning section README.md

Author: koreyspace

18-fine-tuning/README.md

@@ -83,7 +83,8 @@ The following resources provide step-by-step tutorials to walk you through a rea
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 | 🤗 AutoTrain | [Fine-tuning LLMs with AutoTrain](https://github.com/huggingface/autotrain-advanced/?WT.mc_id=academic-105485-koreyst)                                                         | AutoTrain (or AutoTrain Advanced) is a python library developed by Hugging Face that allows finetuning for many different tasks including LLM finetuning. AutoTrain is a no-code solution and finetuning can be done in your own cloud, on Hugging Face Spaces or locally. It supports both a web-based GUI, CLI and training via yaml config files.                                                                               |
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+| 🦥 Unsloth | [Fine-tuning LLMs with Unsloth](https://github.com/unslothai/unsloth)                                                         | Unsloth is an open-source framework that supports LLM fine-tuning and reinforcement learning (RL). Unsloth streamlines local training, evaluation, and deployment with ready to use [notebooks](https://github.com/unslothai/notebooks). It also supports text-to-speech (TTS), BERT and multimodal models. To get started, read their step-by-step [Fine-tuning LLMs Guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide).                                                                          |
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 ## Assignment
 
 Select one of the tutorials above and walk through them. _We may replicate a version of these tutorials in Jupyter Notebooks in this repo for reference only. Please use the original sources directly to get the latest versions_.