Maximizing Human Productivity with Generative AI and Secure Browsing

Companies are exploring the use of generative AI models, such as ChatGPT, to leverage their proprietary knowledge for improved innovation and competitiveness. Training these models from scratch requires massive amounts of high-quality data and computing power, making it a less common approach. Instead, companies can fine-tune existing models or use prompt-tuning to incorporate domain-specific content. Fine-tuning requires less data and computing power, while prompt-tuning is computationally efficient and does not require extensive data. Content curation and governance are crucial to ensure high-quality knowledge, and evaluation strategies are necessary to maintain accuracy. Legal and governance issues surrounding LLM deployments are complex, and companies should involve legal representatives in the creation and governance process. Shaping user behavior and promoting transparency and accountability are essential for successful implementation of generative AI-based knowledge management systems.