Abstract
This chapter explores the evolution and future trajectory of Python-driven generative AI, highlighting Python's role in advancing this technology. It discusses the integration of Python with emerging technologies like neuromorphic computing and reinforcement learning, focusing on their potential to revolutionize art, design, and media. Through detailed analysis of the open-source implementation of a technology platform designed, the chapter provides insights into Python's facilitation of innovative AI applications. It addresses potential challenges and ethical considerations, along with the mitigation and call to action, emphasizing the importance of responsible innovation. The narrative underscores Python's influence in making advanced AI technologies accessible and scalable, preparing readers to engage with future developments in the field of generative AI.
Reference16 articles.
1. Factuality challenges in the era of large language models.;I.Augenstein,2023
2. The Power of Generative AI: A Review of Requirements, Models, Input–Output Formats, Evaluation Metrics, and Challenges
3. A Rapid Review of Responsible AI frameworks: How to guide the development of ethical AI
4. Taking the Next Step with Generative Artificial Intelligence: The Transformative Role of Multimodal Large Language Models in Science Education.;A.Bewersdorff,2024
5. On the Opportunities and Risks of Foundation Models (Report).;RBommasani,2021