Adapting LLMs to Downstream Tasks Using Federated Learning on Distributed Datasets – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-03T22:20:47Z http://www.open-lab.net/blog/feed/ Holger Roth <![CDATA[Adapting LLMs to Downstream Tasks Using Federated Learning on Distributed Datasets]]> http://www.open-lab.net/blog/?p=67237 2024-05-10T00:22:46Z 2023-07-10T20:00:00Z Large language models (LLMs), such as GPT, have emerged as revolutionary tools in natural language processing (NLP) due to their ability to understand and...]]> Large language models (LLMs), such as GPT, have emerged as revolutionary tools in natural language processing (NLP) due to their ability to understand and...

Large language models (LLMs), such as GPT, have emerged as revolutionary tools in natural language processing (NLP) due to their ability to understand and generate human-like text. These models are trained on vast amounts of diverse data, enabling them to learn patterns, language structures, and contextual relationships. They serve as foundational models that can be customized to a wide range of��

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