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Customizing Language Models

Explore techniques for adapting pre-trained models to specific domains and tasks, including fine-tuning LLMs, transfer learning for generative AI, continual pre-training, and creating domain-specific language models. Stay tuned as we uncover more about generative AI terms and advancements.

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Customizing Language Models

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  1. Customizing Language Models Techniques for adapting pre-trained models to specific domains and tasks www.logicloom.in

  2. Fine-Tuning LLMs The process of further training a pre-trained language model on a specific dataset to adapt it to a particular task or domain. www.logicloom.in

  3. Transfer Learning for Generative AI Applying knowledge gained from one task to improve performance on a different but related task. www.logicloom.in

  4. Continual Pre-training Ongoing training of language models with new data to keep them up-to-date without starting from scratch. www.logicloom.in

  5. Domain-Specific Language Models LLMs trained or fine-tuned on data from a particular field or industry to specialize in that area. www.logicloom.in

  6. Follow along as we uncover more Generative AI terms! www.logicloom.in

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