Leveraging AI Models (LLMs) for Proprietary Data Simha Vedantam · Follow 3 min read · Just now Introduction The adoption of large language models (LLMs) in various industries has opened up many new possibilities for efficiency and innovation. However, integrating the proprietary data into these AI systems also raises some critical security concerns, especially while dealing with sensitive or confidential information. This document provides an overview of some concerns associated with the two primary approaches: Fine-tuning the model API with Retrieval Augmented Generation (RAG) Fine-tuning: Fine-tuning involves acquiring a pre-trained LLM and further training it on the proprietary data and adjusting the parameters as per the requirements of the business. This allows you to adapt the LLM to your specific business domain and is deployed in a secure environment […]
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