{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/meta-learning-for-efficient-fine-tuning-of-1","title":"Meta Learning for Efficient Fine-Tuning of Large Language Models","arxiv_id":null,"date":"2024-06-28","proceeding":"International Journal of Scientific and Research Publication 2024 6","authors":["Shriyansh Singh","Pramit Saha"],"abstract":"This paper presents a comprehensive study on meta-learning techniques for the efficient fine-tuning of large language models (LLMs). The research investigates the application of meta-learning strategies to enhance the adaptability and performance of LLMs with limited computational resources. The findings demonstrate significant improvements in fine-tuning efficiency and model performance, as evidenced by statistical analyses and experimental results.","url_abs":"https://colab.research.google.com/drive/1OKWFk6VHahJ4mVM1z0k9JCtaDtVycdYj?usp=sharing","url_pdf":"https://drive.google.com/file/d/1lKFfEo60xAMYopje6nSGiEhYPQWNHFeH/view?usp=sharing","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"meta-learning-for-efficient-fine-tuning-of-1","repo_url":"https://github.com/mobambas/NLP-Finetuning-Using-LLMs","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"meta-learning","task_name":"Meta-Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}