The white paper "Harnessing the Power of Specialized Language Models like ChatGPT for Business Success" by Dell Technologies highlights how businesses can leverage large language models (LLMs) like ChatGPT through fine-tuning for domain-specific tasks. LLMs, while powerful, often need customization via transfer learning to perform specialized tasks effectively. This process involves updating pre-trained models with new data while avoiding "catastrophic forgetting." Parameter-efficient fine-tuning (PEFT) techniques, such as adapter-based approaches, minimize computational overhead while enhancing model robustness. The paper emphasizes the importance of in-house machine learning expertise, high-performance computing infrastructure, and structured datasets.

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