How do IT teams train Generative AI for custom tasks?

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To train Generative AI for IT-specific tasks, teams use domain data such as logs, scripts, support tickets, and documentation. Fine-tuning large language models on this data ensures better context understanding and task execution. For instance, an enterprise can train a model to understand its proprietary software or internal jargon. Additionally, techniques like Retrieval-Augmented Generation (RAG) allow AI to fetch relevant documents before generating a response. This blend of training and retrieval makes Generative AI highly adaptable in IT environments. Privacy, security, and performance considerations must guide this customization process.


Source : https://www.inoru.com/generative-ai-workspace-solution