This collection of documents explores various aspects of models within machine learning and artificial intelligence. It offers insights into foundational concepts, applications across industries like healthcare and finance, and the ethical considerations involved. Key topics include training processes, the role of generative AI in financial analyses, approaches to meaning representation in languages, and the challenges faced in data collection and model deployment. The emphasis is on both theoretical frameworks and practical applications, promoting responsible AI development and innovation.
Non-small cell lung cancer active compounds discovery holding on protein expression using machine learning models
