What Are Foundation AI Models Exactly? - Datafloq

While organizations around the globe have long gone on an AI investment spree, the number of artificial intelligence projects that make it from prototypes to production still fluctuates around 53%. Experts believe this often happens due to lacking tech skills, human resources, and tools to scale isolated AI proof of concepts (PoCs) across other use cases. Foundation models – i.e., large machine learning models trained on vast volumes of unlabelled data under the guidance of skilled AI consultants – may be the ultimate answer to the daunting AI scalability and cost problems. Your company could use such models as a starting point to enhance or automate various tasks, from converting paper-based documents into editable text files to uncovering customer sentiment in social media reviews. And build on your AI excellence from there, adapting foundation models for future tasks and use cases. This language model has absorbed tremendous volumes of conversational text using the supervised learning and, at the fine-tuning stage, the reinforcement learning from human feedback (RLHF) approaches.