FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models¶
Arxiv Link - 2023-10-16 04:17:13
Abstract¶
Large Language Models (LLMs), such as ChatGPT, LLaMA, GLM, and PaLM, have exhibited remarkable performances across various tasks in recent years. However, LLMs face two main challenges in real-world applications. One challenge is that training LLMs consumes vast computing resources, preventing LLMs from being adopted by small and medium-sized enterprises with limited computing resources. Another is that training LLM requires a large amount of high-quality data, which are often scattered among enterprises. To address these challenges, we propose FATE-LLM, an industrial-grade federated learning framework for large language models. FATE-LLM (1) facilitates federated learning for large language models (coined FedLLM); (2) promotes efficient training of FedLLM using parameter-efficient fine-tuning methods; (3) protects the intellectual property of LLMs; (4) preserves data privacy during training and inference through privacy-preserving mechanisms. We release the code of FATE-LLM at https://github.com/FederatedAI/FATE-LLM to facilitate the research of FedLLM and enable a broad range of industrial applications.
Socials¶
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| 🌟 Exciting News in the World of Large Language Models (LLMs)! 🌟 Large Language Models (LLMs) like ChatGPT, LLaMA, GLM, and PaLM have been making waves with their exceptional performances. However, two key challenges have hindered their widespread adoption: resource-intensive training and the need for vast amounts of high-quality data. Introducing FATE-LLM - an industrial-grade federated learning framework designed to tackle these challenges head-on. FATE-LLM enables federated learning for large language models, promotes efficient training through parameter-efficient fine-tuning methods, safeguards intellectual property, and ensures data privacy during training and inference. Excited to learn more? Dive into the details and explore the code of FATE-LLM at: http://arxiv.org/abs/2310.10049v1 Let's revolutionize the world of LLMs together! 🚀 #LLMs #FederatedLearning #AI #NLP #TechInnovation |
🚀 Exciting news in the world of Large Language Models (LLMs)! Introducing FATE-LLM, an industrial-grade federated learning framework designed to tackle challenges faced by LLMs in real-world applications. Learn more about FATE-LLM and its features at: http://arxiv.org/abs/2310.10049v1 #AI #NLP #LLMs #FederatedLearning #TechResearch |