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Source: https://link.springer.com/article/10.1007/s11042-024-20016-1?utm_source=chatgpt.com
The paper titled “Generative Artificial Intelligence: A Systematic Review and Applications” by Sandeep Singh Sengar, Affan Bin Hasan, Sanjay Kumar, and Fiona Carroll, published in August 2024, provides a comprehensive overview of the advancements and applications of generative AI models.
Key Highlights:
- Paradigm Shift in AI: The study emphasizes a significant shift in artificial intelligence, driven by the capabilities of generative models in both supervised and unsupervised learning scenarios. Springer Link
- Applications Across Domains: Generative AI has demonstrated state-of-the-art performance in various fields, including:
- Image Translation: Enhancing the conversion of images from one form to another.
- Medical Diagnostics: Improving diagnostic processes through advanced data analysis.
- Textual Imagery Fusion: Combining text and images to create cohesive content.
- Natural Language Processing: Advancing the understanding and generation of human language.
- Large Language Models: The paper discusses the impact of large language models on language generation, highlighting their role in advancing natural language processing tasks.
- Interdisciplinary Applications: The research explores how generative AI intersects with various disciplines, leading to innovative solutions across different sectors.
- Future Trajectory: The authors provide insights into the future direction of generative AI, considering potential developments and challenges.
- Responsible AI Principles: The paper concludes with a discussion on ethical considerations and the importance of responsible AI practices to ensure sustainable growth of generative models.
This systematic review serves as a valuable resource for understanding the current landscape and future prospects of generative AI, offering a detailed analysis of its applications and ethical implications.
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