Merge pull request Hannibal046#149 from utuncel/add_unslothai

adding unlsothai, a fine-tuning-framework

README.md

@@ -27,6 +27,7 @@
   - [LLM Books](#llm-books)
   - [Great thoughts about LLM](#great-thoughts-about-llm)
   - [Miscellaneous](#miscellaneous)
+  - [Fine-Tuning](#fine-tuning)
 
 ## Milestone Papers
 
@@ -318,6 +319,7 @@ If you're interested in the field of LLM, you may find the above list of milesto
 - [Dify](https://github.com/langgenius/dify) - An open-source LLM app development platform with an intuitive interface that streamlines AI workflows, model management, and production deployment.
 - [LazyLLM](https://github.com/LazyAGI/LazyLLM) - An open-source LLM app for building multi-agent LLMs applications in an easy and lazy way, supports model deployment and fine-tuning.
 - [MemFree](https://github.com/memfreeme/memfree) - Open Source Hybrid AI Search Engine, Instantly Get Accurate Answers from the Internet, Bookmarks, Notes, and Docs. Support One-Click Deployment
+- [unslothai](https://github.com/unslothai/unsloth) - A framework that specializes in efficient fine-tuning. On its GitHub page, you can find ready-to-use fine-tuning templates for various LLMs, allowing you to easily train your own data for free on the Google Colab cloud.
 
 ## LLM Tutorials and Courses
 - [llm-course](https://github.com/mlabonne/llm-course) - Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.